Pandas Profiling Report

Dataset statistics

Number of variables	43
Number of observations	1573
Missing cells	2749
Missing cells (%)	4.1%
Duplicate rows	34
Duplicate rows (%)	2.2%
Total size in memory	528.6 KiB
Average record size in memory	344.1 B

Variable types

Categorical	27
Numeric	16

Warnings

`currency_buyer` has constant value "EUR"	Constant
`theme` has constant value "summer"	Constant
`crawl_month` has constant value "2020-08"	Constant
Dataset has 34 (2.2%) duplicate rows	Duplicates
`title_in_french` has a high cardinality: 1201 distinct values	High cardinality
`title_translated` has a high cardinality: 1203 distinct values	High cardinality
`tags` has a high cardinality: 1230 distinct values	High cardinality
`product_color` has a high cardinality: 101 distinct values	High cardinality
`product_variation_size_id` has a high cardinality: 106 distinct values	High cardinality
`merchant_title` has a high cardinality: 958 distinct values	High cardinality
`merchant_name` has a high cardinality: 957 distinct values	High cardinality
`merchant_info_subtitle` has a high cardinality: 1058 distinct values	High cardinality
`merchant_id` has a high cardinality: 958 distinct values	High cardinality
`merchant_profile_picture` has a high cardinality: 125 distinct values	High cardinality
`product_url` has a high cardinality: 1341 distinct values	High cardinality
`product_picture` has a high cardinality: 1341 distinct values	High cardinality
`product_id` has a high cardinality: 1341 distinct values	High cardinality
`rating_count` is highly correlated with `rating_five_count` and 4 other fields	High correlation
`rating_five_count` is highly correlated with `rating_count` and 2 other fields	High correlation
`rating_four_count` is highly correlated with `rating_count` and 3 other fields	High correlation
`rating_three_count` is highly correlated with `rating_count` and 4 other fields	High correlation
`rating_two_count` is highly correlated with `rating_count` and 3 other fields	High correlation
`rating_one_count` is highly correlated with `rating_count` and 2 other fields	High correlation
`origin_country` is highly correlated with `theme` and 3 other fields	High correlation
`urgency_text` is highly correlated with `theme` and 3 other fields	High correlation
`theme` is highly correlated with `origin_country` and 12 other fields	High correlation
`badge_local_product` is highly correlated with `theme` and 3 other fields	High correlation
`badges_count` is highly correlated with `theme` and 3 other fields	High correlation
`merchant_has_profile_picture` is highly correlated with `theme` and 3 other fields	High correlation
`currency_buyer` is highly correlated with `origin_country` and 12 other fields	High correlation
`badge_product_quality` is highly correlated with `theme` and 3 other fields	High correlation
`shipping_is_express` is highly correlated with `theme` and 4 other fields	High correlation
`crawl_month` is highly correlated with `origin_country` and 12 other fields	High correlation
`uses_ad_boosts` is highly correlated with `theme` and 3 other fields	High correlation
`has_urgency_banner` is highly correlated with `origin_country` and 12 other fields	High correlation
`badge_fast_shipping` is highly correlated with `theme` and 3 other fields	High correlation
`shipping_option_name` is highly correlated with `theme` and 4 other fields	High correlation
`rating_five_count` has 45 (2.9%) missing values	Missing
`rating_four_count` has 45 (2.9%) missing values	Missing
`rating_three_count` has 45 (2.9%) missing values	Missing
`rating_two_count` has 45 (2.9%) missing values	Missing
`rating_one_count` has 45 (2.9%) missing values	Missing
`product_color` has 41 (2.6%) missing values	Missing
`urgency_text` has 1100 (69.9%) missing values	Missing
`origin_country` has 17 (1.1%) missing values	Missing
`merchant_profile_picture` has 1347 (85.6%) missing values	Missing
`tags` is uniformly distributed	Uniform
`merchant_info_subtitle` is uniformly distributed	Uniform
`product_url` is uniformly distributed	Uniform
`product_picture` is uniformly distributed	Uniform
`product_id` is uniformly distributed	Uniform
`rating_count` has 45 (2.9%) zeros	Zeros
`rating_five_count` has 31 (2.0%) zeros	Zeros
`rating_four_count` has 96 (6.1%) zeros	Zeros
`rating_three_count` has 138 (8.8%) zeros	Zeros
`rating_two_count` has 196 (12.5%) zeros	Zeros
`rating_one_count` has 116 (7.4%) zeros	Zeros

Reproduction

Analysis started	2021-06-18 03:29:54.931348
Analysis finished	2021-06-18 03:30:41.811346
Duration	46.88 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

title_in_french
Categorical

HIGH CARDINALITY

Distinct	1201
Distinct (%)	76.4%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

Nouvelle mode d'été femmes robe décontractée col rond lâche Big Swing jupe sans manches Soild couleur robe de plage	24
Mini robe de soirée décontractée sans manches pour femmes	12
Femmes d'été Sling Dress V-cou Floral Strap plissé Casual Pocket Large Dress	9
Pantalon à lacets à la mode pour femmes d'été, plus la taille Pantalon court à taille haute décontracté	9
Tissu taille formateur gilet chaud shaper été shaperwear minceur réglable sueur ceinture corps shaper	9
Other values (1196)	1510

Length

Max length	327
Median length	112
Mean length	116.9211697
Min length	27

Characters and Unicode

Total characters	183917
Distinct characters	99
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	988 ?
Unique (%)	62.8%

Sample

1st row	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets
2nd row	SSHOUSE Summer Casual Sleeveless Soirée Party Soirée sans manches Vêtements de plage sexy Mini robe femme wshC1612242400387A21
3rd row	2020 Nouvelle Arrivée Femmes Printemps et Été Plage Porter Longue Mince Cardigan Ouvert Avant Kimono Vert Feuille Imprimé En Mousseline de Soie Cardigan S-5XL
4th row	Hot Summer Cool T-shirt pour les femmes Mode Tops Abeille Lettres imprimées Manches courtes O Neck Coton T-shirts Tops Tee Vêtements
5th row	Femmes Shorts d'été à lacets taille élastique lâche mince pantalon décontracté, plus la taille S-8XL

Value	Count	Frequency (%)
Nouvelle mode d'été femmes robe décontractée col rond lâche Big Swing jupe sans manches Soild couleur robe de plage	24	1.5%
Mini robe de soirée décontractée sans manches pour femmes	12	0.8%
Femmes d'été Sling Dress V-cou Floral Strap plissé Casual Pocket Large Dress	9	0.6%
Pantalon à lacets à la mode pour femmes d'été, plus la taille Pantalon court à taille haute décontracté	9	0.6%
Tissu taille formateur gilet chaud shaper été shaperwear minceur réglable sueur ceinture corps shaper	9	0.6%
Mode féminine été bretelles spaghetti imprimé floral nouer devant mini robe robe sexy	8	0.5%
Femmes été décontracté lâche couleur unie salopette vintage sangle pantalon long combinaisons barboteuses grande taille	7	0.4%
Costume de sport cool pour hommes d'été Vêtements de sport Costumes de jogging décontractés Ensembles de tenues à manches courtes	7	0.4%
Pantalon de mode d'été Femmes Leggings Pantalon déchiré Pantalon slim Pantalon vert armée Collants	7	0.4%
Mode d'été femme papillon réservoir gilet sans manches col rond haut décontracté	6	0.4%
Other values (1191)	1475	93.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
femmes	997	3.4%
de	916	3.1%
robe	888	3.1%
manches	779	2.7%
d'été	756	2.6%
mode	644	2.2%
taille	603	2.1%
à	585	2.0%
sans	526	1.8%
casual	443	1.5%
Other values (1937)	21976	75.5%

Most occurring characters

Value	Count	Frequency (%)
	27665	15.0%
e	19612	10.7%
s	11169	6.1%
o	10437	5.7%
a	9797	5.3%
l	8526	4.6%
t	8444	4.6%
r	8176	4.4%
n	8023	4.4%
i	7652	4.2%
Other values (89)	64416	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	133795	72.7%
Space Separator	27668	15.0%
Uppercase Letter	18640	10.1%
Decimal Number	1477	0.8%
Other Punctuation	1148	0.6%
Dash Punctuation	1035	0.6%
Open Punctuation	58	< 0.1%
Close Punctuation	58	< 0.1%
Math Symbol	27	< 0.1%
Connector Punctuation	8	< 0.1%
Other values (2)	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	19612	14.7%
s	11169	8.3%
o	10437	7.8%
a	9797	7.3%
l	8526	6.4%
t	8444	6.3%
r	8176	6.1%
n	8023	6.0%
i	7652	5.7%
m	6949	5.2%
Other values (26)	35010	26.2%

Value	Count	Frequency (%)
S	2959	15.9%
C	1800	9.7%
T	1453	7.8%
F	1324	7.1%
D	1317	7.1%
P	1288	6.9%
L	1200	6.4%
M	1199	6.4%
B	909	4.9%
R	858	4.6%
Other values (18)	4333	23.2%

Value	Count	Frequency (%)
'	915	79.7%
,	135	11.8%
/	39	3.4%
"	26	2.3%
.	13	1.1%
:	8	0.7%
&	4	0.3%
!	4	0.3%
\	2	0.2%
%	1	0.1%

Value	Count	Frequency (%)
2	341	23.1%
0	328	22.2%
5	249	16.9%
1	175	11.8%
8	110	7.4%
9	90	6.1%
3	68	4.6%
4	47	3.2%
6	46	3.1%
7	23	1.6%

Value	Count	Frequency (%)
(	50	86.2%
（	7	12.1%
[	1	1.7%

Value	Count	Frequency (%)
)	54	93.1%
）	3	5.2%
]	1	1.7%

Value	Count	Frequency (%)
	27665	> 99.9%
	3	< 0.1%

Value	Count	Frequency (%)
~	16	59.3%
+	11	40.7%

Value	Count	Frequency (%)
-	1035	100.0%

Value	Count	Frequency (%)
`	2	100.0%

Value	Count	Frequency (%)
_	8	100.0%

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	152435	82.9%
Common	31482	17.1%

Most frequent character per script

Value	Count	Frequency (%)
e	19612	12.9%
s	11169	7.3%
o	10437	6.8%
a	9797	6.4%
l	8526	5.6%
t	8444	5.5%
r	8176	5.4%
n	8023	5.3%
i	7652	5.0%
m	6949	4.6%
Other values (54)	53650	35.2%

Value	Count	Frequency (%)
	27665	87.9%
-	1035	3.3%
'	915	2.9%
2	341	1.1%
0	328	1.0%
5	249	0.8%
1	175	0.6%
,	135	0.4%
8	110	0.3%
9	90	0.3%
Other values (25)	439	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178350	97.0%
None	5567	3.0%

Most frequent character per block

Value	Count	Frequency (%)
	27665	15.5%
e	19612	11.0%
s	11169	6.3%
o	10437	5.9%
a	9797	5.5%
l	8526	4.8%
t	8444	4.7%
r	8176	4.6%
n	8023	4.5%
i	7652	4.3%
Other values (74)	58849	33.0%

Value	Count	Frequency (%)
é	4126	74.1%
à	512	9.2%
â	307	5.5%
É	226	4.1%
è	139	2.5%
ê	114	2.0%
À	74	1.3%
ô	27	0.5%
î	16	0.3%
（	7	0.1%
Other values (5)	19	0.3%

title_translated
Categorical

HIGH CARDINALITY

Distinct	1203
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

New Fashion Summer Women Casual Dress Round Neck Loose Big Swing Skirt Sleeveless Soild Color Beach dress	24
Sexy Women's Summer Casual Sleeveless Evening Party Backless Beachwear Mini Dress	12
Summer Women s Fashion Lace Up Tie Pants Plus Size Casual High Waist Short Pants	9
Fabric Waist Trainer Vest Hot Shaper Summer Shaperwear Slimming Adjustable Sweat Belt Body Shaper	9
Summer Women Sling Dress V-neck Floral Pleated Strap Casual Pocket Large Dress	9
Other values (1198)	1510

Length

Max length	272
Median length	96
Mean length	102.6280992
Min length	21

Characters and Unicode

Total characters	161434
Distinct characters	99
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	990 ?
Unique (%)	62.9%

Sample

1st row	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets
2nd row	Women's Casual Summer Sleeveless Sexy Mini Dress
3rd row	2020 New Arrival Women Spring and Summer Beach Wear Long Thin Cardigan Open Front Kimono Green Leaf Printed Chiffon Cardigan S-5XL
4th row	Hot Summer Cool T Shirt for Women Fashion Tops Bee Printed Letters Short Sleeve O Neck Cotton T-shirts Tops Tee Clothing
5th row	Women Summer Shorts Lace Up Elastic Waistband Loose Thin Casual Pants Plus Size S-8XL

Value	Count	Frequency (%)
New Fashion Summer Women Casual Dress Round Neck Loose Big Swing Skirt Sleeveless Soild Color Beach dress	24	1.5%
Sexy Women's Summer Casual Sleeveless Evening Party Backless Beachwear Mini Dress	12	0.8%
Summer Women s Fashion Lace Up Tie Pants Plus Size Casual High Waist Short Pants	9	0.6%
Fabric Waist Trainer Vest Hot Shaper Summer Shaperwear Slimming Adjustable Sweat Belt Body Shaper	9	0.6%
Summer Women Sling Dress V-neck Floral Pleated Strap Casual Pocket Large Dress	9	0.6%
Women's Summer Fashion Spaghetti Strap Floral Print Tie Front Mini Dress Sexy Dress	8	0.5%
Summer Fashion Trousers Women Leggings Ripped Pants Slim Pants Army Green Tights Pants	7	0.4%
Women Summer Casual Loose Solid Color Vintage Overalls Strap Long Pants Jumpsuits Rompers Plus Size	7	0.4%
Summer mens cool sport suit Sports Wear Casual Jogging Suits Short Sleeve Outfit Sets	7	0.4%
Summer fashion female butterfly tank vest sleeveless round neck casual top	6	0.4%
Other values (1193)	1475	93.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
summer	1327	5.2%
dress	1031	4.1%
women	1004	4.0%
fashion	866	3.4%
casual	847	3.4%
size	595	2.4%
plus	561	2.2%
sleeveless	545	2.2%
loose	452	1.8%
short	432	1.7%
Other values (1509)	17622	69.7%

Most occurring characters

Value	Count	Frequency (%)
	23954	14.8%
e	15787	9.8%
s	11679	7.2%
o	9467	5.9%
r	8098	5.0%
a	7733	4.8%
i	7566	4.7%
n	6930	4.3%
S	6756	4.2%
t	6534	4.0%
Other values (89)	56930	35.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	108681	67.3%
Uppercase Letter	25654	15.9%
Space Separator	23954	14.8%
Decimal Number	1435	0.9%
Dash Punctuation	955	0.6%
Other Punctuation	579	0.4%
Open Punctuation	57	< 0.1%
Close Punctuation	57	< 0.1%
Math Symbol	27	< 0.1%
Final Punctuation	15	< 0.1%
Other values (4)	20	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	15787	14.5%
s	11679	10.7%
o	9467	8.7%
r	8098	7.5%
a	7733	7.1%
i	7566	7.0%
n	6930	6.4%
t	6534	6.0%
l	6424	5.9%
m	5311	4.9%
Other values (21)	23152	21.3%

Value	Count	Frequency (%)
S	6756	26.3%
C	2044	8.0%
P	2030	7.9%
W	1894	7.4%
T	1865	7.3%
L	1739	6.8%
D	1510	5.9%
F	1470	5.7%
B	1425	5.6%
N	743	2.9%
Other values (18)	4178	16.3%

Value	Count	Frequency (%)
'	444	76.7%
/	40	6.9%
,	34	5.9%
"	18	3.1%
&	15	2.6%
:	7	1.2%
.	7	1.2%
;	4	0.7%
!	4	0.7%
\	2	0.3%
Other values (3)	4	0.7%

Value	Count	Frequency (%)
2	329	22.9%
0	318	22.2%
5	246	17.1%
1	164	11.4%
8	105	7.3%
9	89	6.2%
3	69	4.8%
4	49	3.4%
6	45	3.1%
7	21	1.5%

Value	Count	Frequency (%)
(	49	86.0%
（	7	12.3%
[	1	1.8%

Value	Count	Frequency (%)
)	53	93.0%
）	3	5.3%
]	1	1.8%

Value	Count	Frequency (%)
~	16	59.3%
+	11	40.7%

Value	Count	Frequency (%)
’	14	93.3%
”	1	6.7%

Value	Count	Frequency (%)
“	7	70.0%
‘	3	30.0%

Value	Count	Frequency (%)
	23954	100.0%

Value	Count	Frequency (%)
-	955	100.0%

Value	Count	Frequency (%)
_	8	100.0%

Value	Count	Frequency (%)
	1	100.0%

Value	Count	Frequency (%)
™	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	134335	83.2%
Common	27099	16.8%

Most frequent character per script

Value	Count	Frequency (%)
e	15787	11.8%
s	11679	8.7%
o	9467	7.0%
r	8098	6.0%
a	7733	5.8%
i	7566	5.6%
n	6930	5.2%
S	6756	5.0%
t	6534	4.9%
l	6424	4.8%
Other values (49)	47361	35.3%

Value	Count	Frequency (%)
	23954	88.4%
-	955	3.5%
'	444	1.6%
2	329	1.2%
0	318	1.2%
5	246	0.9%
1	164	0.6%
8	105	0.4%
9	89	0.3%
3	69	0.3%
Other values (30)	426	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	161388	> 99.9%
Punctuation	25	< 0.1%
None	20	< 0.1%
Letterlike Symbols	1	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	23954	14.8%
e	15787	9.8%
s	11679	7.2%
o	9467	5.9%
r	8098	5.0%
a	7733	4.8%
i	7566	4.7%
n	6930	4.3%
S	6756	4.2%
t	6534	4.0%
Other values (75)	56884	35.2%

Value	Count	Frequency (%)
（	7	35.0%
）	3	15.0%
ä	3	15.0%
é	2	10.0%
Ü	1	5.0%
ö	1	5.0%
ß	1	5.0%
Ä	1	5.0%
à	1	5.0%

Value	Count	Frequency (%)
’	14	56.0%
“	7	28.0%
‘	3	12.0%
”	1	4.0%

Value	Count	Frequency (%)
™	1	100.0%

listed_price
Real number (ℝ_≥0)

Distinct	127
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.325371901
Minimum	1
Maximum	49
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2.656
Q1	5.81
median	8
Q3	11
95-th percentile	15
Maximum	49
Range	48
Interquartile range (IQR)	5.19

Descriptive statistics

Standard deviation	3.932029815
Coefficient of variation (CV)	0.472294795
Kurtosis	7.765125164
Mean	8.325371901
Median Absolute Deviation (MAD)	3
Skewness	1.3158913
Sum	13095.81
Variance	15.46085847
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	282	17.9%
11	202	12.8%
7	129	8.2%
9	126	8.0%
6	120	7.6%
12	81	5.1%
5	80	5.1%
14	57	3.6%
13	54	3.4%
16	42	2.7%
Other values (117)	400	25.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5	0.3%
1.65	2	0.1%
1.66	2	0.1%
1.67	1	0.1%
1.68	5	0.3%

Value	Count	Frequency (%)
49	1	0.1%
27	1	0.1%
26	1	0.1%
25	1	0.1%
24	1	0.1%

retail_price
Real number (ℝ_≥0)

Distinct	104
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.28862047
Minimum	1
Maximum	252
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	7
median	10
Q3	26
95-th percentile	85
Maximum	252
Range	251
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	30.35786309
Coefficient of variation (CV)	1.303549222
Kurtosis	10.04536878
Mean	23.28862047
Median Absolute Deviation (MAD)	5
Skewness	2.742709302
Sum	36633
Variance	921.5998513
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	177	11.3%
6	136	8.6%
10	128	8.1%
5	102	6.5%
11	99	6.3%
8	90	5.7%
9	54	3.4%
4	50	3.2%
17	47	3.0%
2	45	2.9%
Other values (94)	645	41.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	45	2.9%
3	37	2.4%
4	50	3.2%
5	102	6.5%

Value	Count	Frequency (%)
252	2	0.1%
250	1	0.1%
169	1	0.1%
168	5	0.3%
159	4	0.3%

currency_buyer
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

EUR	1573

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4719
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EUR
2nd row	EUR
3rd row	EUR
4th row	EUR
5th row	EUR

Value	Count	Frequency (%)
EUR	1573	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
eur	1573	100.0%

Most occurring characters

Value	Count	Frequency (%)
E	1573	33.3%
U	1573	33.3%
R	1573	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4719	100.0%

Most frequent character per category

Value	Count	Frequency (%)
E	1573	33.3%
U	1573	33.3%
R	1573	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4719	100.0%

Most frequent character per script

Value	Count	Frequency (%)
E	1573	33.3%
U	1573	33.3%
R	1573	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4719	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	1573	33.3%
U	1573	33.3%
R	1573	33.3%

units_sold
Real number (ℝ_≥0)

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4339.005086
Minimum	1
Maximum	100000
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	50
Q1	100
median	1000
Q3	5000
95-th percentile	20000
Maximum	100000
Range	99999
Interquartile range (IQR)	4900

Descriptive statistics

Standard deviation	9356.539302
Coefficient of variation (CV)	2.156378966
Kurtosis	45.56805559
Mean	4339.005086
Median Absolute Deviation (MAD)	900
Skewness	5.624840138
Sum	6825255
Variance	87544827.71
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
100	509	32.4%
1000	405	25.7%
5000	217	13.8%
10000	177	11.3%
20000	103	6.5%
50	76	4.8%
10	49	3.1%
50000	17	1.1%
100000	6	0.4%
8	4	0.3%
Other values (5)	10	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	0.2%
2	2	0.1%
3	2	0.1%
6	1	0.1%
7	2	0.1%

Value	Count	Frequency (%)
100000	6	0.4%
50000	17	1.1%
20000	103	6.5%
10000	177	11.3%
5000	217	13.8%

uses_ad_boosts
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	892
1	681

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Value	Count	Frequency (%)
0	892	56.7%
1	681	43.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	892	56.7%
1	681	43.3%

Most occurring characters

Value	Count	Frequency (%)
0	892	56.7%
1	681	43.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	892	56.7%
1	681	43.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	892	56.7%
1	681	43.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	892	56.7%
1	681	43.3%

rating
Real number (ℝ_≥0)

Distinct	192
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.820896376
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3.55
median	3.85
Q3	4.11
95-th percentile	4.698
Maximum	5
Range	4
Interquartile range (IQR)	0.56

Descriptive statistics

Standard deviation	0.5153735991
Coefficient of variation (CV)	0.134882904
Kurtosis	2.735180424
Mean	3.820896376
Median Absolute Deviation (MAD)	0.28
Skewness	-0.5309121947
Sum	6010.27
Variance	0.2656099466
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	70	4.5%
4	44	2.8%
3.67	33	2.1%
4.07	22	1.4%
3	22	1.4%
3.61	21	1.3%
3.8	21	1.3%
3.96	20	1.3%
3.75	19	1.2%
4.14	19	1.2%
Other values (182)	1282	81.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	0.2%
1.5	2	0.1%
2	9	0.6%
2.25	1	0.1%
2.33	2	0.1%

Value	Count	Frequency (%)
5	70	4.5%
4.86	1	0.1%
4.83	1	0.1%
4.8	2	0.1%
4.75	4	0.3%

rating_count
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	761
Distinct (%)	48.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	889.6592498
Minimum	0
Maximum	20744
Zeros	45
Zeros (%)	2.9%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	24
median	150
Q3	855
95-th percentile	3771.4
Maximum	20744
Range	20744
Interquartile range (IQR)	831

Descriptive statistics

Standard deviation	1983.928834
Coefficient of variation (CV)	2.229987306
Kurtosis	30.00764131
Mean	889.6592498
Median Absolute Deviation (MAD)	146
Skewness	4.789467043
Sum	1399434
Variance	3935973.619
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	45	2.9%
2	31	2.0%
4	28	1.8%
6	26	1.7%
12	25	1.6%
3	23	1.5%
10	20	1.3%
1	19	1.2%
8	19	1.2%
13	17	1.1%
Other values (751)	1320	83.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45	2.9%
1	19	1.2%
2	31	2.0%
3	23	1.5%
4	28	1.8%

Value	Count	Frequency (%)
20744	1	0.1%
18463	1	0.1%
18393	1	0.1%
17980	1	0.1%
17444	1	0.1%

rating_five_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	605
Distinct (%)	39.6%
Missing	45
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%

Mean	442.2637435
Minimum	0
Maximum	11548
Zeros	31
Zeros (%)	2.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	12
median	79
Q3	413.5
95-th percentile	2048.25
Maximum	11548
Range	11548
Interquartile range (IQR)	401.5

Descriptive statistics

Standard deviation	980.2032696
Coefficient of variation (CV)	2.21633196
Kurtosis	34.12450729
Mean	442.2637435
Median Absolute Deviation (MAD)	76
Skewness	4.930986369
Sum	675779
Variance	960798.4497
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	49	3.1%
5	49	3.1%
3	44	2.8%
2	43	2.7%
4	34	2.2%
0	31	2.0%
9	26	1.7%
7	24	1.5%
8	21	1.3%
17	21	1.3%
Other values (595)	1186	75.4%
(Missing)	45	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	31	2.0%
1	49	3.1%
2	43	2.7%
3	44	2.8%
4	34	2.2%

Value	Count	Frequency (%)
11548	1	0.1%
11184	1	0.1%
8290	1	0.1%
7530	1	0.1%
7337	1	0.1%

rating_four_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	440
Distinct (%)	28.8%
Missing	45
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%

Mean	179.5994764
Minimum	0
Maximum	4152
Zeros	96
Zeros (%)	6.1%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	31.5
Q3	168.25
95-th percentile	758.6
Maximum	4152
Range	4152
Interquartile range (IQR)	163.25

Descriptive statistics

Standard deviation	400.5162311
Coefficient of variation (CV)	2.230052331
Kurtosis	27.71305173
Mean	179.5994764
Median Absolute Deviation (MAD)	30.5
Skewness	4.665102585
Sum	274428
Variance	160413.2514
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	96	6.1%
1	91	5.8%
2	67	4.3%
3	53	3.4%
4	53	3.4%
5	52	3.3%
7	32	2.0%
11	28	1.8%
6	27	1.7%
8	27	1.7%
Other values (430)	1002	63.7%
(Missing)	45	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	96	6.1%
1	91	5.8%
2	67	4.3%
3	53	3.4%
4	53	3.4%

Value	Count	Frequency (%)
4152	1	0.1%
3483	1	0.1%
3404	1	0.1%
3351	1	0.1%
3191	1	0.1%

rating_three_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	384
Distinct (%)	25.1%
Missing	45
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%

Mean	134.5497382
Minimum	0
Maximum	3658
Zeros	138
Zeros (%)	8.8%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	24
Q3	129.25
95-th percentile	574.6
Maximum	3658
Range	3658
Interquartile range (IQR)	125.25

Descriptive statistics

Standard deviation	311.6906559
Coefficient of variation (CV)	2.316545985
Kurtosis	35.54985044
Mean	134.5497382
Median Absolute Deviation (MAD)	24
Skewness	5.174655967
Sum	205592
Variance	97151.06498
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	138	8.8%
1	86	5.5%
2	79	5.0%
5	53	3.4%
3	51	3.2%
4	50	3.2%
6	36	2.3%
7	34	2.2%
10	31	2.0%
8	25	1.6%
Other values (374)	945	60.1%
(Missing)	45	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	138	8.8%
1	86	5.5%
2	79	5.0%
3	51	3.2%
4	50	3.2%

Value	Count	Frequency (%)
3658	1	0.1%
3057	1	0.1%
2951	1	0.1%
2919	1	0.1%
2624	1	0.1%

rating_two_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	262
Distinct (%)	17.1%
Missing	45
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%

Mean	63.71138743
Minimum	0
Maximum	2003
Zeros	196
Zeros (%)	12.5%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	11
Q3	62
95-th percentile	275.55
Maximum	2003
Range	2003
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	151.343933
Coefficient of variation (CV)	2.375461266
Kurtosis	44.81767579
Mean	63.71138743
Median Absolute Deviation (MAD)	11
Skewness	5.665096423
Sum	97351
Variance	22904.98607
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	196	12.5%
1	159	10.1%
2	84	5.3%
3	70	4.5%
4	56	3.6%
5	40	2.5%
6	38	2.4%
7	36	2.3%
8	30	1.9%
9	23	1.5%
Other values (252)	796	50.6%
(Missing)	45	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	196	12.5%
1	159	10.1%
2	84	5.3%
3	70	4.5%
4	56	3.6%

Value	Count	Frequency (%)
2003	1	0.1%
1736	1	0.1%
1410	1	0.1%
1310	1	0.1%
1174	1	0.1%

rating_one_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	330
Distinct (%)	21.6%
Missing	45
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%

Mean	95.73560209
Minimum	0
Maximum	2789
Zeros	116
Zeros (%)	7.4%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	20
Q3	94
95-th percentile	396.65
Maximum	2789
Range	2789
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	214.0755444
Coefficient of variation (CV)	2.236112164
Kurtosis	41.82846709
Mean	95.73560209
Median Absolute Deviation (MAD)	19
Skewness	5.383055991
Sum	146284
Variance	45828.33869
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	116	7.4%
1	116	7.4%
3	76	4.8%
2	73	4.6%
4	59	3.8%
7	46	2.9%
5	39	2.5%
6	32	2.0%
8	32	2.0%
9	27	1.7%
Other values (320)	912	58.0%
(Missing)	45	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	116	7.4%
1	116	7.4%
2	73	4.6%
3	76	4.8%
4	59	3.8%

Value	Count	Frequency (%)
2789	1	0.1%
2559	1	0.1%
1846	1	0.1%
1736	1	0.1%
1600	1	0.1%

badges_count
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	1422
1	138
2	11
3	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1422	90.4%
1	138	8.8%
2	11	0.7%
3	2	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1422	90.4%
1	138	8.8%
2	11	0.7%
3	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1422	90.4%
1	138	8.8%
2	11	0.7%
3	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1422	90.4%
1	138	8.8%
2	11	0.7%
3	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1422	90.4%
1	138	8.8%
2	11	0.7%
3	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1422	90.4%
1	138	8.8%
2	11	0.7%
3	2	0.1%

badge_local_product
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	1544
1	29

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1544	98.2%
1	29	1.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1544	98.2%
1	29	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	1544	98.2%
1	29	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1544	98.2%
1	29	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1544	98.2%
1	29	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1544	98.2%
1	29	1.8%

badge_product_quality
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	1456
1	117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1456	92.6%
1	117	7.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1456	92.6%
1	117	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	1456	92.6%
1	117	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1456	92.6%
1	117	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1456	92.6%
1	117	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1456	92.6%
1	117	7.4%

badge_fast_shipping
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	1553
1	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1553	98.7%
1	20	1.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1553	98.7%
1	20	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	1553	98.7%
1	20	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1553	98.7%
1	20	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1553	98.7%
1	20	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1553	98.7%
1	20	1.3%

tags
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1230
Distinct (%)	78.2%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

Summer,Fashion,Necks,Skirts,Dress,Loose,Women's Fashion,Round neck,beach dress,sleeveless,Beach,Casual,Women	17
Summer,Sling,Dresses,Dress,V-neck,Casual,Pocket,Women's Fashion,Sleeveless dress,women dress,Floral,sleeveless,Women,loose dress,Pleated,casual dress	9
slimming,wasitcincher,Fashion,waistgirdle,slimmingcorset,Corset,Summer,Waist,waist trainer,Fashion Accessory,Vest,shaperwear,belt	8
Summer,short sleeve dress,neck dress,Necks,Sleeve,Beach,Dress,Loose,short sleeves,V-neck,Shorts,beach dress,Plus Size,Midi Dress,summer dress,Print,Pullovers,Women's Fashion,Casual,Women	7
Summer,Women Rompers,Plus Size,women long pants,linenjumpsuit,pants,Overalls,Loose,plussizejumpsuit,Women's Fashion,strappant,Long pants,Jumpsuits & Rompers,rompers womens jumpsuit,Vintage,Women,women Jumpsuit,Casual,jumpsuit	7
Other values (1225)	1525

Length

Max length	448
Median length	165
Mean length	169.1411316
Min length	61

Characters and Unicode

Total characters	266059
Distinct characters	85
Distinct categories	8 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1005 ?
Unique (%)	63.9%

Sample

1st row	Summer,Fashion,womenunderwearsuit,printedpajamasset,womencasualshort,Women's Fashion,flamingo,loungewearset,Casual,Shirt,casualsleepwear,Shorts,flamingotshirt,Elastic,Vintage,Tops,tshirtandshortsset,Women,Sleepwear,Print,womenpajamasset,womennightwear,Pajamas,womensleepwearset
2nd row	Mini,womens dresses,Summer,Patchwork,fashion dress,Dress,Mini dress,Women's Fashion,Women S Clothing,backless,party,summer dresses,sleeveless,sexy,Casual
3rd row	Summer,cardigan,women beachwear,chiffon,Sexy women,Coat,summercardigan,openfront,short sleeves,Swimsuit,Women's Fashion,leaf,Green,printed,Spring,longcardigan,Women,Beach,kimono
4th row	Summer,Shorts,Cotton,Cotton T Shirt,Sleeve,printedletterstop,Clothing,Tops,Necks,short sleeves,Women's Fashion,Women Clothing,printed,Women,tshirtforwomen,Fashion,T Shirts,Shirt
5th row	Summer,Plus Size,Lace,Casual pants,Bottom,pants,Loose,Women's Fashion,Shorts,Lace Up,Elastic,Casual,Women

Value	Count	Frequency (%)
Summer,Fashion,Necks,Skirts,Dress,Loose,Women's Fashion,Round neck,beach dress,sleeveless,Beach,Casual,Women	17	1.1%
Summer,Sling,Dresses,Dress,V-neck,Casual,Pocket,Women's Fashion,Sleeveless dress,women dress,Floral,sleeveless,Women,loose dress,Pleated,casual dress	9	0.6%
slimming,wasitcincher,Fashion,waistgirdle,slimmingcorset,Corset,Summer,Waist,waist trainer,Fashion Accessory,Vest,shaperwear,belt	8	0.5%
Summer,short sleeve dress,neck dress,Necks,Sleeve,Beach,Dress,Loose,short sleeves,V-neck,Shorts,beach dress,Plus Size,Midi Dress,summer dress,Print,Pullovers,Women's Fashion,Casual,Women	7	0.4%
Summer,Women Rompers,Plus Size,women long pants,linenjumpsuit,pants,Overalls,Loose,plussizejumpsuit,Women's Fashion,strappant,Long pants,Jumpsuits & Rompers,rompers womens jumpsuit,Vintage,Women,women Jumpsuit,Casual,jumpsuit	7	0.4%
Summer,Fashion,Necks,Beach,Dress,Loose,beach dress,Round neck,Women's Fashion,sleeveless,Skirts,Casual,Women	7	0.4%
Summer,Leggings,Fashion,high waist,pants,slim,Women's Fashion,trousers,Green,Army,Women	6	0.4%
pajamaset,Fashion,sexy pajamas for womens,silksleepwearforwomen,silksleepwear,pajamassuit,Casual,Women's Fashion,Summer,Sleepwear,pajamasforwomen,silksleepwearnightgown,silk,pajamassleepwear,women's pajamas,Women	5	0.3%
Summer,Shorts,high waist shorts,high waist,Casual pants,pants,summer shorts,Waist,Slim Fit,Short pants,Women's Fashion,Plus Size,Lace Up,Women,Fashion,Casual,Lace	5	0.3%
Mini,womens dresses,Summer,sleevele,Dress,Mini dress,Women's Fashion,Fashion,backless,party,sexy,summer dresses,Women S Clothing,Casual,sleeveless	5	0.3%
Other values (1220)	1497	95.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
summer,plus	200	1.6%
	168	1.4%
dress,women's	162	1.3%
dress	141	1.2%
t	109	0.9%
sleeve	104	0.8%
for	95	0.8%
tank	82	0.7%
fashion,plus	81	0.7%
fashion,sleeveless	78	0.6%
Other values (5417)	11018	90.0%

Most occurring characters

Value	Count	Frequency (%)
s	29143	11.0%
e	26515	10.0%
,	25782	9.7%
o	16754	6.3%
r	13985	5.3%
n	13871	5.2%
i	13599	5.1%
a	13211	5.0%
t	12856	4.8%
	10672	4.0%
Other values (75)	89671	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	204942	77.0%
Other Punctuation	27442	10.3%
Uppercase Letter	22283	8.4%
Space Separator	10672	4.0%
Dash Punctuation	631	0.2%
Decimal Number	80	< 0.1%
Other Letter	5	< 0.1%
Connector Punctuation	4	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
s	29143	14.2%
e	26515	12.9%
o	16754	8.2%
r	13985	6.8%
n	13871	6.8%
i	13599	6.6%
a	13211	6.4%
t	12856	6.3%
m	10254	5.0%
l	9595	4.7%
Other values (29)	45159	22.0%

Value	Count	Frequency (%)
S	5555	24.9%
F	3339	15.0%
W	2866	12.9%
C	1735	7.8%
T	1568	7.0%
P	1490	6.7%
D	1253	5.6%
L	890	4.0%
B	789	3.5%
V	645	2.9%
Other values (14)	2153	9.7%

Value	Count	Frequency (%)
2	25	31.2%
3	19	23.8%
4	9	11.2%
0	9	11.2%
1	8	10.0%
9	3	3.8%
5	3	3.8%
8	2	2.5%
7	2	2.5%

Value	Count	Frequency (%)
,	25782	94.0%
'	1462	5.3%
&	171	0.6%
#	25	0.1%
/	2	< 0.1%

Value	Count	Frequency (%)
漁	1	20.0%
師	1	20.0%
の	1	20.0%
帽	1	20.0%
子	1	20.0%

Value	Count	Frequency (%)
	10672	100.0%

Value	Count	Frequency (%)
-	631	100.0%

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	227213	85.4%
Common	38829	14.6%
Cyrillic	12	< 0.1%
Han	4	< 0.1%
Hiragana	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
s	29143	12.8%
e	26515	11.7%
o	16754	7.4%
r	13985	6.2%
n	13871	6.1%
i	13599	6.0%
a	13211	5.8%
t	12856	5.7%
m	10254	4.5%
l	9595	4.2%
Other values (41)	67430	29.7%

Value	Count	Frequency (%)
,	25782	66.4%
	10672	27.5%
'	1462	3.8%
-	631	1.6%
&	171	0.4%
#	25	0.1%
2	25	0.1%
3	19	< 0.1%
4	9	< 0.1%
0	9	< 0.1%
Other values (7)	24	0.1%

Value	Count	Frequency (%)
ш	1	8.3%
о	1	8.3%
р	1	8.3%
т	1	8.3%
ы	1	8.3%
м	1	8.3%
у	1	8.3%
ж	1	8.3%
с	1	8.3%
к	1	8.3%
Other values (2)	2	16.7%

Value	Count	Frequency (%)
漁	1	25.0%
師	1	25.0%
帽	1	25.0%
子	1	25.0%

Value	Count	Frequency (%)
の	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	266041	> 99.9%
Cyrillic	12	< 0.1%
CJK	4	< 0.1%
Hiragana	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
s	29143	11.0%
e	26515	10.0%
,	25782	9.7%
o	16754	6.3%
r	13985	5.3%
n	13871	5.2%
i	13599	5.1%
a	13211	5.0%
t	12856	4.8%
	10672	4.0%
Other values (57)	89653	33.7%

Value	Count	Frequency (%)
漁	1	25.0%
師	1	25.0%
帽	1	25.0%
子	1	25.0%

Value	Count	Frequency (%)
の	1	100.0%

Value	Count	Frequency (%)
ш	1	8.3%
о	1	8.3%
р	1	8.3%
т	1	8.3%
ы	1	8.3%
м	1	8.3%
у	1	8.3%
ж	1	8.3%
с	1	8.3%
к	1	8.3%
Other values (2)	2	16.7%

Value	Count	Frequency (%)
é	1	100.0%

product_color
Categorical

HIGH CARDINALITY
MISSING

Distinct	101
Distinct (%)	6.6%
Missing	41
Missing (%)	2.6%
Memory size	12.4 KiB

black	302
white	254
yellow	105
blue	99
pink	99
Other values (96)	673

Length

Max length	19
Median length	5
Mean length	5.532637076
Min length	3

Characters and Unicode

Total characters	8476
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	2.5%

Sample

1st row	white
2nd row	green
3rd row	leopardprint
4th row	black
5th row	yellow

Value	Count	Frequency (%)
black	302	19.2%
white	254	16.1%
yellow	105	6.7%
blue	99	6.3%
pink	99	6.3%
red	93	5.9%
green	90	5.7%
grey	71	4.5%
purple	53	3.4%
armygreen	31	2.0%
Other values (91)	335	21.3%
(Missing)	41	2.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
black	321	19.8%
white	277	17.1%
pink	110	6.8%
yellow	109	6.7%
green	108	6.7%
blue	108	6.7%
red	98	6.0%
grey	73	4.5%
purple	53	3.3%
	40	2.5%
Other values (64)	323	19.9%

Most occurring characters

Value	Count	Frequency (%)
e	1291	15.2%
l	881	10.4%
r	587	6.9%
i	521	6.1%
b	513	6.1%
a	496	5.9%
k	486	5.7%
w	433	5.1%
n	392	4.6%
c	369	4.4%
Other values (23)	2507	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8330	98.3%
Space Separator	88	1.0%
Other Punctuation	40	0.5%
Uppercase Letter	15	0.2%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	1291	15.5%
l	881	10.6%
r	587	7.0%
i	521	6.3%
b	513	6.2%
a	496	6.0%
k	486	5.8%
w	433	5.2%
n	392	4.7%
c	369	4.4%
Other values (13)	2361	28.3%

Value	Count	Frequency (%)
B	4	26.7%
W	3	20.0%
R	2	13.3%
A	2	13.3%
P	2	13.3%
E	1	6.7%
D	1	6.7%

Value	Count	Frequency (%)
	88	100.0%

Value	Count	Frequency (%)
&	40	100.0%

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8345	98.5%
Common	131	1.5%

Most frequent character per script

Value	Count	Frequency (%)
e	1291	15.5%
l	881	10.6%
r	587	7.0%
i	521	6.2%
b	513	6.1%
a	496	5.9%
k	486	5.8%
w	433	5.2%
n	392	4.7%
c	369	4.4%
Other values (20)	2376	28.5%

Value	Count	Frequency (%)
	88	67.2%
&	40	30.5%
-	3	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8476	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1291	15.2%
l	881	10.4%
r	587	6.9%
i	521	6.1%
b	513	6.1%
a	496	5.9%
k	486	5.7%
w	433	5.1%
n	392	4.6%
c	369	4.4%
Other values (23)	2507	29.6%

product_variation_size_id
Categorical

HIGH CARDINALITY

Distinct	106
Distinct (%)	6.8%
Missing	14
Missing (%)	0.9%
Memory size	12.4 KiB

S	641
XS	356
M	200
XXS	100
L	49
Other values (101)	213

Length

Max length	28
Median length	1
Mean length	1.934573445
Min length	1

Characters and Unicode

Total characters	3016
Distinct characters	62
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63 ?
Unique (%)	4.0%

Sample

1st row	M
2nd row	XS
3rd row	XS
4th row	M
5th row	S

Value	Count	Frequency (%)
S	641	40.8%
XS	356	22.6%
M	200	12.7%
XXS	100	6.4%
L	49	3.1%
S.	18	1.1%
XL	17	1.1%
XXL	15	1.0%
XXXS	6	0.4%
XS.	5	0.3%
Other values (96)	152	9.7%
(Missing)	14	0.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
s	679	41.3%
xs	365	22.2%
m	206	12.5%
xxs	104	6.3%
l	51	3.1%
size	25	1.5%
xl	18	1.1%
xxl	15	0.9%
xxxs	6	0.4%
1	6	0.4%
Other values (110)	171	10.4%

Most occurring characters

Value	Count	Frequency (%)
S	1221	40.5%
X	691	22.9%
M	210	7.0%
L	114	3.8%
	90	3.0%
i	54	1.8%
e	54	1.8%
.	38	1.3%
z	36	1.2%
3	31	1.0%
Other values (52)	477	15.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2320	76.9%
Lowercase Letter	362	12.0%
Decimal Number	154	5.1%
Space Separator	90	3.0%
Other Punctuation	44	1.5%
Dash Punctuation	28	0.9%
Open Punctuation	9	0.3%
Close Punctuation	9	0.3%

Most frequent character per category

Value	Count	Frequency (%)
i	54	14.9%
e	54	14.9%
z	36	9.9%
s	24	6.6%
c	24	6.6%
a	23	6.4%
t	21	5.8%
m	17	4.7%
o	16	4.4%
n	15	4.1%
Other values (14)	78	21.5%

Value	Count	Frequency (%)
S	1221	52.6%
X	691	29.8%
M	210	9.1%
L	114	4.9%
E	14	0.6%
I	11	0.5%
U	10	0.4%
Z	9	0.4%
P	8	0.3%
B	6	0.3%
Other values (11)	26	1.1%

Value	Count	Frequency (%)
3	31	20.1%
0	24	15.6%
2	22	14.3%
1	19	12.3%
5	18	11.7%
4	16	10.4%
8	8	5.2%
6	7	4.5%
9	5	3.2%
7	4	2.6%

Value	Count	Frequency (%)
.	38	86.4%
/	3	6.8%
&	3	6.8%

Value	Count	Frequency (%)
-	28	100.0%

Value	Count	Frequency (%)
	90	100.0%

Value	Count	Frequency (%)
(	9	100.0%

Value	Count	Frequency (%)
)	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2682	88.9%
Common	334	11.1%

Most frequent character per script

Value	Count	Frequency (%)
S	1221	45.5%
X	691	25.8%
M	210	7.8%
L	114	4.3%
i	54	2.0%
e	54	2.0%
z	36	1.3%
s	24	0.9%
c	24	0.9%
a	23	0.9%
Other values (35)	231	8.6%

Value	Count	Frequency (%)
	90	26.9%
.	38	11.4%
3	31	9.3%
-	28	8.4%
0	24	7.2%
2	22	6.6%
1	19	5.7%
5	18	5.4%
4	16	4.8%
(	9	2.7%
Other values (7)	39	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3016	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	1221	40.5%
X	691	22.9%
M	210	7.0%
L	114	3.8%
	90	3.0%
i	54	1.8%
e	54	1.8%
.	38	1.3%
z	36	1.2%
3	31	1.0%
Other values (52)	477	15.8%

product_variation_inventory
Real number (ℝ_≥0)

Distinct	48
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	33.08137317
Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	6
median	50
Q3	50
95-th percentile	50
Maximum	50
Range	49
Interquartile range (IQR)	44

Descriptive statistics

Standard deviation	21.35313744
Coefficient of variation (CV)	0.6454731286
Kurtosis	-1.574971382
Mean	33.08137317
Median Absolute Deviation (MAD)	0
Skewness	-0.5656531028
Sum	52037
Variance	455.9564785
Monotocity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
50	907	57.7%
1	152	9.7%
2	81	5.1%
5	74	4.7%
3	52	3.3%
10	40	2.5%
4	25	1.6%
9	22	1.4%
6	18	1.1%
7	18	1.1%
Other values (38)	184	11.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	152	9.7%
2	81	5.1%
3	52	3.3%
4	25	1.6%
5	74	4.7%

Value	Count	Frequency (%)
50	907	57.7%
49	9	0.6%
48	4	0.3%
47	4	0.3%
46	6	0.4%

shipping_option_name
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

Livraison standard	1508
Standard Shipping	21
Envio Padrão	9
Expediere Standard	6
Envío normal	5
Other values (10)	24

Length

Max length	23
Median length	18
Mean length	17.92180547
Min length	12

Characters and Unicode

Total characters	28191
Distinct characters	77
Distinct categories	6 ?
Distinct scripts	6 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Livraison standard
2nd row	Livraison standard
3rd row	Livraison standard
4th row	Livraison standard
5th row	Livraison standard

Value	Count	Frequency (%)
Livraison standard	1508	95.9%
Standard Shipping	21	1.3%
Envio Padrão	9	0.6%
Expediere Standard	6	0.4%
Envío normal	5	0.3%
الشحن القياسي	4	0.3%
Standardowa wysyłka	3	0.2%
Standardversand	3	0.2%
Livraison Express	3	0.2%
Стандартная доставка	3	0.2%
Other values (5)	8	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
standard	1537	48.9%
livraison	1511	48.1%
shipping	21	0.7%
envio	9	0.3%
padrão	9	0.3%
expediere	6	0.2%
envío	5	0.2%
normal	5	0.2%
الشحن	4	0.1%
القياسي	4	0.1%
Other values (12)	29	0.9%

Most occurring characters

Value	Count	Frequency (%)
a	4626	16.4%
d	3110	11.0%
n	3103	11.0%
i	3085	10.9%
r	3085	10.9%
s	3036	10.8%
	1567	5.6%
t	1547	5.5%
o	1545	5.5%
v	1528	5.4%
Other values (67)	1959	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24908	88.4%
Uppercase Letter	1607	5.7%
Space Separator	1567	5.6%
Other Letter	95	0.3%
Nonspacing Mark	11	< 0.1%
Spacing Mark	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	4626	18.6%
d	3110	12.5%
n	3103	12.5%
i	3085	12.4%
r	3085	12.4%
s	3036	12.2%
t	1547	6.2%
o	1545	6.2%
v	1528	6.1%
p	54	0.2%
Other values (24)	189	0.8%

Value	Count	Frequency (%)
ا	12	12.6%
ل	8	8.4%
ي	8	8.4%
า	8	8.4%
ش	4	4.2%
ح	4	4.2%
ن	4	4.2%
ق	4	4.2%
س	4	4.2%
ร	4	4.2%
Other values (18)	35	36.8%

Value	Count	Frequency (%)
่	2	18.2%
ิ	2	18.2%
้	2	18.2%
្	2	18.2%
ឹ	1	9.1%
ូ	1	9.1%
់	1	9.1%

Value	Count	Frequency (%)
L	1511	94.0%
S	58	3.6%
E	24	1.5%
P	9	0.6%
С	3	0.2%
G	2	0.1%

Value	Count	Frequency (%)
	1567	100.0%

Value	Count	Frequency (%)
ា	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26458	93.9%
Common	1567	5.6%
Cyrillic	57	0.2%
Arabic	48	0.2%
Thai	38	0.1%
Khmer	23	0.1%

Most frequent character per script

Value	Count	Frequency (%)
a	4626	17.5%
d	3110	11.8%
n	3103	11.7%
i	3085	11.7%
r	3085	11.7%
s	3036	11.5%
t	1547	5.8%
o	1545	5.8%
v	1528	5.8%
L	1511	5.7%
Other values (19)	282	1.1%

Value	Count	Frequency (%)
ា	3	13.0%
ក	2	8.7%
រ	2	8.7%
ដ	2	8.7%
ជ	2	8.7%
្	2	8.7%
ត	2	8.7%
ឹ	1	4.3%
ញ	1	4.3%
ូ	1	4.3%
Other values (5)	5	21.7%

Value	Count	Frequency (%)
า	8	21.1%
ร	4	10.5%
ส	4	10.5%
น	4	10.5%
ก	2	5.3%
่	2	5.3%
ง	2	5.3%
ิ	2	5.3%
ค	2	5.3%
้	2	5.3%
Other values (3)	6	15.8%

Value	Count	Frequency (%)
а	15	26.3%
т	9	15.8%
н	6	10.5%
д	6	10.5%
С	3	5.3%
р	3	5.3%
я	3	5.3%
о	3	5.3%
с	3	5.3%
в	3	5.3%

Value	Count	Frequency (%)
ا	12	25.0%
ل	8	16.7%
ي	8	16.7%
ش	4	8.3%
ح	4	8.3%
ن	4	8.3%
ق	4	8.3%
س	4	8.3%

Value	Count	Frequency (%)
	1567	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28005	99.3%
Cyrillic	57	0.2%
Arabic	48	0.2%
Thai	38	0.1%
Khmer	23	0.1%
None	20	0.1%

Most frequent character per block

Value	Count	Frequency (%)
a	4626	16.5%
d	3110	11.1%
n	3103	11.1%
i	3085	11.0%
r	3085	11.0%
s	3036	10.8%
	1567	5.6%
t	1547	5.5%
o	1545	5.5%
v	1528	5.5%
Other values (16)	1773	6.3%

Value	Count	Frequency (%)
ã	9	45.0%
í	5	25.0%
ł	4	20.0%
ö	2	10.0%

Value	Count	Frequency (%)
ا	12	25.0%
ل	8	16.7%
ي	8	16.7%
ش	4	8.3%
ح	4	8.3%
ن	4	8.3%
ق	4	8.3%
س	4	8.3%

Value	Count	Frequency (%)
า	8	21.1%
ร	4	10.5%
ส	4	10.5%
น	4	10.5%
ก	2	5.3%
่	2	5.3%
ง	2	5.3%
ิ	2	5.3%
ค	2	5.3%
้	2	5.3%
Other values (3)	6	15.8%

Value	Count	Frequency (%)
ា	3	13.0%
ក	2	8.7%
រ	2	8.7%
ដ	2	8.7%
ជ	2	8.7%
្	2	8.7%
ត	2	8.7%
ឹ	1	4.3%
ញ	1	4.3%
ូ	1	4.3%
Other values (5)	5	21.7%

Value	Count	Frequency (%)
а	15	26.3%
т	9	15.8%
н	6	10.5%
д	6	10.5%
С	3	5.3%
р	3	5.3%
я	3	5.3%
о	3	5.3%
с	3	5.3%
в	3	5.3%

shipping_option_price
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.345200254
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	12
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.024371048
Coefficient of variation (CV)	0.4367947029
Kurtosis	6.534053273
Mean	2.345200254
Median Absolute Deviation (MAD)	1
Skewness	1.365252463
Sum	3689
Variance	1.049336044
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	619	39.4%
3	520	33.1%
1	308	19.6%
4	76	4.8%
5	32	2.0%
6	12	0.8%
7	5	0.3%
12	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	308	19.6%
2	619	39.4%
3	520	33.1%
4	76	4.8%
5	32	2.0%

Value	Count	Frequency (%)
12	1	0.1%
7	5	0.3%
6	12	0.8%
5	32	2.0%
4	76	4.8%

shipping_is_express
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	1569
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1569	99.7%
1	4	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1569	99.7%
1	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1569	99.7%
1	4	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1569	99.7%
1	4	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1569	99.7%
1	4	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1569	99.7%
1	4	0.3%

countries_shipped_to
Real number (ℝ_≥0)

Distinct	94
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.45645264
Minimum	6
Maximum	140
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	6
5-th percentile	18
Q1	31
median	40
Q3	43
95-th percentile	72.4
Maximum	140
Range	134
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	20.30120308
Coefficient of variation (CV)	0.501803835
Kurtosis	11.38391925
Mean	40.45645264
Median Absolute Deviation (MAD)	5
Skewness	2.961890329
Sum	63638
Variance	412.1388467
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	171	10.9%
43	170	10.8%
40	106	6.7%
38	76	4.8%
36	64	4.1%
35	61	3.9%
42	57	3.6%
39	43	2.7%
25	39	2.5%
37	38	2.4%
Other values (84)	748	47.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1	0.1%
8	6	0.4%
9	4	0.3%
10	7	0.4%
11	2	0.1%

Value	Count	Frequency (%)
140	3	0.2%
139	14	0.9%
138	9	0.6%
137	3	0.2%
135	2	0.1%

inventory_total
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	49.82136046
Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	1
5-th percentile	50
Q1	50
median	50
Q3	50
95-th percentile	50
Maximum	50
Range	49
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.562799326
Coefficient of variation (CV)	0.05143977007
Kurtosis	287.2634299
Mean	49.82136046
Median Absolute Deviation (MAD)	0
Skewness	-16.47787667
Sum	78369
Variance	6.567940387
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
50	1563	99.4%
2	2	0.1%
1	1	0.1%
9	1	0.1%
24	1	0.1%
30	1	0.1%
36	1	0.1%
37	1	0.1%
38	1	0.1%
40	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	2	0.1%
9	1	0.1%
24	1	0.1%
30	1	0.1%

Value	Count	Frequency (%)
50	1563	99.4%
40	1	0.1%
38	1	0.1%
37	1	0.1%
36	1	0.1%

has_urgency_banner
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

nan	1100
1.0	473

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4719
Distinct characters	5
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	nan
5th row	1.0

Value	Count	Frequency (%)
nan	1100	69.9%
1.0	473	30.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	1100	69.9%
1.0	473	30.1%

Most occurring characters

Value	Count	Frequency (%)
n	2200	46.6%
a	1100	23.3%
1	473	10.0%
.	473	10.0%
0	473	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3300	69.9%
Decimal Number	946	20.0%
Other Punctuation	473	10.0%

Most frequent character per category

Value	Count	Frequency (%)
1	473	50.0%
0	473	50.0%

Value	Count	Frequency (%)
n	2200	66.7%
a	1100	33.3%

Value	Count	Frequency (%)
.	473	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3300	69.9%
Common	1419	30.1%

Most frequent character per script

Value	Count	Frequency (%)
1	473	33.3%
.	473	33.3%
0	473	33.3%

Value	Count	Frequency (%)
n	2200	66.7%
a	1100	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4719	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	2200	46.6%
a	1100	23.3%
1	473	10.0%
.	473	10.0%
0	473	10.0%

urgency_text
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.4%
Missing	1100
Missing (%)	69.9%
Memory size	12.4 KiB

Quantité limitée !	472
Réduction sur les achats en gros	1

Length

Max length	32
Median length	18
Mean length	18.02959831
Min length	18

Characters and Unicode

Total characters	8528
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	Quantité limitée !
2nd row	Quantité limitée !
3rd row	Quantité limitée !
4th row	Quantité limitée !
5th row	Quantité limitée !

Value	Count	Frequency (%)
Quantité limitée !	472	30.0%
Réduction sur les achats en gros	1	0.1%
(Missing)	1100	69.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
	472	33.2%
quantité	472	33.2%
limitée	472	33.2%
achats	1	0.1%
en	1	0.1%
les	1	0.1%
gros	1	0.1%
réduction	1	0.1%
sur	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
t	1418	16.6%
i	1417	16.6%
	949	11.1%
é	945	11.1%
u	474	5.6%
a	474	5.6%
n	474	5.6%
e	474	5.6%
l	473	5.5%
Q	472	5.5%
Other values (10)	958	11.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6634	77.8%
Space Separator	949	11.1%
Uppercase Letter	473	5.5%
Other Punctuation	472	5.5%

Most frequent character per category

Value	Count	Frequency (%)
t	1418	21.4%
i	1417	21.4%
é	945	14.2%
u	474	7.1%
a	474	7.1%
n	474	7.1%
e	474	7.1%
l	473	7.1%
m	472	7.1%
s	4	0.1%
Other values (6)	9	0.1%

Value	Count	Frequency (%)
Q	472	99.8%
R	1	0.2%

Value	Count	Frequency (%)
	949	100.0%

Value	Count	Frequency (%)
!	472	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7107	83.3%
Common	1421	16.7%

Most frequent character per script

Value	Count	Frequency (%)
t	1418	20.0%
i	1417	19.9%
é	945	13.3%
u	474	6.7%
a	474	6.7%
n	474	6.7%
e	474	6.7%
l	473	6.7%
Q	472	6.6%
m	472	6.6%
Other values (8)	14	0.2%

Value	Count	Frequency (%)
	949	66.8%
!	472	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7583	88.9%
None	945	11.1%

Most frequent character per block

Value	Count	Frequency (%)
t	1418	18.7%
i	1417	18.7%
	949	12.5%
u	474	6.3%
a	474	6.3%
n	474	6.3%
e	474	6.3%
l	473	6.2%
Q	472	6.2%
m	472	6.2%
Other values (9)	486	6.4%

Value	Count	Frequency (%)
é	945	100.0%

origin_country
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	17
Missing (%)	1.1%
Memory size	12.4 KiB

CN	1516
US	31
VE	5
SG	2
AT	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	3112
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	CN
2nd row	CN
3rd row	CN
4th row	CN
5th row	CN

Value	Count	Frequency (%)
CN	1516	96.4%
US	31	2.0%
VE	5	0.3%
SG	2	0.1%
AT	1	0.1%
GB	1	0.1%
(Missing)	17	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
cn	1516	97.4%
us	31	2.0%
ve	5	0.3%
sg	2	0.1%
gb	1	0.1%
at	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
C	1516	48.7%
N	1516	48.7%
S	33	1.1%
U	31	1.0%
V	5	0.2%
E	5	0.2%
G	3	0.1%
A	1	< 0.1%
T	1	< 0.1%
B	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3112	100.0%

Most frequent character per category

Value	Count	Frequency (%)
C	1516	48.7%
N	1516	48.7%
S	33	1.1%
U	31	1.0%
V	5	0.2%
E	5	0.2%
G	3	0.1%
A	1	< 0.1%
T	1	< 0.1%
B	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3112	100.0%

Most frequent character per script

Value	Count	Frequency (%)
C	1516	48.7%
N	1516	48.7%
S	33	1.1%
U	31	1.0%
V	5	0.2%
E	5	0.2%
G	3	0.1%
A	1	< 0.1%
T	1	< 0.1%
B	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3112	100.0%

Most frequent character per block

Value	Count	Frequency (%)
C	1516	48.7%
N	1516	48.7%
S	33	1.1%
U	31	1.0%
V	5	0.2%
E	5	0.2%
G	3	0.1%
A	1	< 0.1%
T	1	< 0.1%
B	1	< 0.1%

merchant_title
Categorical

HIGH CARDINALITY

Distinct	958
Distinct (%)	60.9%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

guangzhouweishiweifushiyouxiangongsi	15
Suyi Technology	12
sjhdstoer	9
Sangboo Store	8
shuilingjiao international trade company	8
Other values (953)	1521

Length

Max length	51
Median length	11
Mean length	12.26636999
Min length	2

Characters and Unicode

Total characters	19295
Distinct characters	75
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	635 ?
Unique (%)	40.4%

Sample

1st row	zgrdejia
2nd row	SaraHouse
3rd row	hxt520
4th row	allenfan
5th row	youngpeopleshop

Value	Count	Frequency (%)
guangzhouweishiweifushiyouxiangongsi	15	1.0%
Suyi Technology	12	0.8%
sjhdstoer	9	0.6%
Sangboo Store	8	0.5%
shuilingjiao international trade company	8	0.5%
Cenic Beauty	8	0.5%
Pentiumhorse	7	0.4%
snowgirl	6	0.4%
witkey BL	6	0.4%
sklioppp	6	0.4%
Other values (948)	1488	94.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
fashion	57	2.6%
store	40	1.8%
international	22	1.0%
technology	17	0.8%
boutique	17	0.8%
shop	16	0.7%
the	15	0.7%
guangzhouweishiweifushiyouxiangongsi	15	0.7%
co.,ltd	14	0.6%
ltd	14	0.6%
Other values (1145)	1996	89.8%

Most occurring characters

Value	Count	Frequency (%)
i	1530	7.9%
n	1529	7.9%
a	1462	7.6%
o	1308	6.8%
e	1283	6.6%
u	876	4.5%
s	828	4.3%
h	822	4.3%
g	799	4.1%
l	706	3.7%
Other values (65)	8152	42.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15639	81.1%
Uppercase Letter	1982	10.3%
Decimal Number	833	4.3%
Space Separator	665	3.4%
Other Punctuation	124	0.6%
Connector Punctuation	37	0.2%
Dash Punctuation	10	0.1%
Math Symbol	2	< 0.1%
Initial Punctuation	1	< 0.1%
Open Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
i	1530	9.8%
n	1529	9.8%
a	1462	9.3%
o	1308	8.4%
e	1283	8.2%
u	876	5.6%
s	828	5.3%
h	822	5.3%
g	799	5.1%
l	706	4.5%
Other values (16)	4496	28.7%

Value	Count	Frequency (%)
S	248	12.5%
L	148	7.5%
A	124	6.3%
H	121	6.1%
T	118	6.0%
O	106	5.3%
F	97	4.9%
M	93	4.7%
C	89	4.5%
N	86	4.3%
Other values (16)	752	37.9%

Value	Count	Frequency (%)
1	142	17.0%
6	130	15.6%
0	112	13.4%
8	97	11.6%
2	91	10.9%
5	65	7.8%
9	62	7.4%
3	48	5.8%
4	46	5.5%
7	40	4.8%

Value	Count	Frequency (%)
.	74	59.7%
'	19	15.3%
,	17	13.7%
@	7	5.6%
&	4	3.2%
!	3	2.4%

Value	Count	Frequency (%)
	665	100.0%

Value	Count	Frequency (%)
_	37	100.0%

Value	Count	Frequency (%)
~	2	100.0%

Value	Count	Frequency (%)
-	10	100.0%

Value	Count	Frequency (%)
‘	1	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17621	91.3%
Common	1674	8.7%

Most frequent character per script

Value	Count	Frequency (%)
i	1530	8.7%
n	1529	8.7%
a	1462	8.3%
o	1308	7.4%
e	1283	7.3%
u	876	5.0%
s	828	4.7%
h	822	4.7%
g	799	4.5%
l	706	4.0%
Other values (42)	6478	36.8%

Value	Count	Frequency (%)
	665	39.7%
1	142	8.5%
6	130	7.8%
0	112	6.7%
8	97	5.8%
2	91	5.4%
.	74	4.4%
5	65	3.9%
9	62	3.7%
3	48	2.9%
Other values (13)	188	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19294	> 99.9%
Punctuation	1	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
i	1530	7.9%
n	1529	7.9%
a	1462	7.6%
o	1308	6.8%
e	1283	6.6%
u	876	4.5%
s	828	4.3%
h	822	4.3%
g	799	4.1%
l	706	3.7%
Other values (64)	8151	42.2%

Value	Count	Frequency (%)
‘	1	100.0%

merchant_name
Categorical

HIGH CARDINALITY

Distinct	957
Distinct (%)	61.0%
Missing	4
Missing (%)	0.3%
Memory size	12.4 KiB

广州唯适唯服饰有限公司	15
greatexpectationstechnology	12
sjhdstoer	9
sangboostore	8
shuilingjiaointernationaltradecompany	8
Other values (952)	1517

Length

Max length	52
Median length	11
Mean length	11.7418738
Min length	2

Characters and Unicode

Total characters	18423
Distinct characters	151
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	635 ?
Unique (%)	40.5%

Sample

1st row	zgrdejia
2nd row	sarahouse
3rd row	hxt520
4th row	allenfan
5th row	happyhorses

Value	Count	Frequency (%)
广州唯适唯服饰有限公司	15	1.0%
greatexpectationstechnology	12	0.8%
sjhdstoer	9	0.6%
sangboostore	8	0.5%
shuilingjiaointernationaltradecompany	8	0.5%
cenicbeauty	8	0.5%
pentiumhorse	7	0.4%
sarahouse	6	0.4%
fengjinying	6	0.4%
witkeybl	6	0.4%
Other values (947)	1484	94.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
广州唯适唯服饰有限公司	15	1.0%
greatexpectationstechnology	12	0.8%
sjhdstoer	9	0.6%
cenicbeauty	8	0.5%
sangboostore	8	0.5%
shuilingjiaointernationaltradecompany	8	0.5%
pentiumhorse	7	0.4%
sklioppp	6	0.4%
witkeybl	6	0.4%
zuilangmands	6	0.4%
Other values (947)	1484	94.6%

Most occurring characters

Value	Count	Frequency (%)
a	1566	8.5%
n	1491	8.1%
i	1453	7.9%
e	1364	7.4%
o	1318	7.2%
s	971	5.3%
l	859	4.7%
h	826	4.5%
t	795	4.3%
g	776	4.2%
Other values (141)	7004	38.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16742	90.9%
Decimal Number	1116	6.1%
Other Letter	533	2.9%
Connector Punctuation	32	0.2%

Most frequent character per category

Value	Count	Frequency (%)
公	37	6.9%
有	34	6.4%
限	34	6.4%
司	34	6.4%
唯	30	5.6%
州	25	4.7%
服	23	4.3%
广	18	3.4%
饰	17	3.2%
适	15	2.8%
Other values (104)	266	49.9%

Value	Count	Frequency (%)
a	1566	9.4%
n	1491	8.9%
i	1453	8.7%
e	1364	8.1%
o	1318	7.9%
s	971	5.8%
l	859	5.1%
h	826	4.9%
t	795	4.7%
g	776	4.6%
Other values (16)	5323	31.8%

Value	Count	Frequency (%)
1	195	17.5%
6	159	14.2%
0	154	13.8%
8	128	11.5%
2	119	10.7%
5	90	8.1%
9	80	7.2%
3	67	6.0%
4	66	5.9%
7	58	5.2%

Value	Count	Frequency (%)
_	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16742	90.9%
Common	1148	6.2%
Han	533	2.9%

Most frequent character per script

Value	Count	Frequency (%)
公	37	6.9%
有	34	6.4%
限	34	6.4%
司	34	6.4%
唯	30	5.6%
州	25	4.7%
服	23	4.3%
广	18	3.4%
饰	17	3.2%
适	15	2.8%
Other values (104)	266	49.9%

Value	Count	Frequency (%)
a	1566	9.4%
n	1491	8.9%
i	1453	8.7%
e	1364	8.1%
o	1318	7.9%
s	971	5.8%
l	859	5.1%
h	826	4.9%
t	795	4.7%
g	776	4.6%
Other values (16)	5323	31.8%

Value	Count	Frequency (%)
1	195	17.0%
6	159	13.9%
0	154	13.4%
8	128	11.1%
2	119	10.4%
5	90	7.8%
9	80	7.0%
3	67	5.8%
4	66	5.7%
7	58	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17890	97.1%
CJK	533	2.9%

Most frequent character per block

Value	Count	Frequency (%)
a	1566	8.8%
n	1491	8.3%
i	1453	8.1%
e	1364	7.6%
o	1318	7.4%
s	971	5.4%
l	859	4.8%
h	826	4.6%
t	795	4.4%
g	776	4.3%
Other values (27)	6471	36.2%

Value	Count	Frequency (%)
公	37	6.9%
有	34	6.4%
限	34	6.4%
司	34	6.4%
唯	30	5.6%
州	25	4.7%
服	23	4.3%
广	18	3.4%
饰	17	3.2%
适	15	2.8%
Other values (104)	266	49.9%

merchant_info_subtitle
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1058
Distinct (%)	67.3%
Missing	1
Missing (%)	0.1%
Memory size	12.4 KiB

83 % avis positifs (32,168 notes)	14
86 % avis positifs (12,309 notes)	11
87 % avis positifs (42,919 notes)	8
85 % avis positifs (80,093 notes)	7
86 % avis positifs (65,189 notes)	6
Other values (1053)	1526

Length

Max length	54
Median length	32
Mean length	28.80788804
Min length	9

Characters and Unicode

Total characters	45286
Distinct characters	102
Distinct categories	10 ?
Distinct scripts	6 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	742 ?
Unique (%)	47.2%

Sample

1st row	(568 notes)
2nd row	83 % avis positifs (17,752 notes)
3rd row	86 % avis positifs (295 notes)
4th row	(23,832 notes)
5th row	85 % avis positifs (14,482 notes)

Value	Count	Frequency (%)
83 % avis positifs (32,168 notes)	14	0.9%
86 % avis positifs (12,309 notes)	11	0.7%
87 % avis positifs (42,919 notes)	8	0.5%
85 % avis positifs (80,093 notes)	7	0.4%
86 % avis positifs (65,189 notes)	6	0.4%
84 % avis positifs (36,361 notes)	6	0.4%
84 % avis positifs (5,654 notes)	6	0.4%
89 % avis positifs (55,499 notes)	6	0.4%
83 % avis positifs (247 notes)	5	0.3%
85 % avis positifs (5,264 notes)	5	0.3%
Other values (1048)	1498	95.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
notes	1510	18.4%
	1225	14.9%
avis	1225	14.9%
positifs	1225	14.9%
86	141	1.7%
85	131	1.6%
87	113	1.4%
88	112	1.4%
84	105	1.3%
83	96	1.2%
Other values (971)	2331	28.4%

Most occurring characters

Value	Count	Frequency (%)
	6642	14.7%
s	5277	11.7%
i	3853	8.5%
t	2819	6.2%
o	2809	6.2%
8	1663	3.7%
e	1644	3.6%
n	1574	3.5%
(	1572	3.5%
)	1572	3.5%
Other values (92)	15861	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23529	52.0%
Decimal Number	9229	20.4%
Space Separator	6642	14.7%
Other Punctuation	2554	5.6%
Open Punctuation	1572	3.5%
Close Punctuation	1572	3.5%
Other Letter	123	0.3%
Uppercase Letter	57	0.1%
Nonspacing Mark	5	< 0.1%
Spacing Mark	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
s	5277	22.4%
i	3853	16.4%
t	2819	12.0%
o	2809	11.9%
e	1644	7.0%
n	1574	6.7%
a	1334	5.7%
v	1266	5.4%
p	1255	5.3%
f	1241	5.3%
Other values (32)	457	1.9%

Value	Count	Frequency (%)
ي	12	9.8%
د	8	6.5%
ف	8	6.5%
ا	8	6.5%
ت	8	6.5%
ر	4	3.3%
و	4	3.3%
ع	4	3.3%
ل	4	3.3%
إ	4	3.3%
Other values (25)	59	48.0%

Value	Count	Frequency (%)
8	1663	18.0%
1	1145	12.4%
9	923	10.0%
3	896	9.7%
2	881	9.5%
7	794	8.6%
5	790	8.6%
6	748	8.1%
4	719	7.8%
0	670	7.3%

Value	Count	Frequency (%)
F	33	57.9%
P	18	31.6%
B	4	7.0%
O	1	1.8%
G	1	1.8%

Value	Count	Frequency (%)
%	1279	50.1%
,	1271	49.8%
:	4	0.2%

Value	Count	Frequency (%)
ิ	4	80.0%
្	1	20.0%

Value	Count	Frequency (%)
ា	2	66.7%
ៃ	1	33.3%

Value	Count	Frequency (%)
(	1572	100.0%

Value	Count	Frequency (%)
	6642	100.0%

Value	Count	Frequency (%)
)	1572	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23505	51.9%
Common	21569	47.6%
Arabic	84	0.2%
Cyrillic	81	0.2%
Thai	36	0.1%
Khmer	11	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
s	5277	22.5%
i	3853	16.4%
t	2819	12.0%
o	2809	12.0%
e	1644	7.0%
n	1574	6.7%
a	1334	5.7%
v	1266	5.4%
p	1255	5.3%
f	1241	5.3%
Other values (21)	433	1.8%

Value	Count	Frequency (%)
	6642	30.8%
8	1663	7.7%
(	1572	7.3%
)	1572	7.3%
%	1279	5.9%
,	1271	5.9%
1	1145	5.3%
9	923	4.3%
3	896	4.2%
2	881	4.1%
Other values (6)	3725	17.3%

Value	Count	Frequency (%)
о	12	14.8%
т	9	11.1%
л	6	7.4%
и	6	7.4%
е	6	7.4%
н	6	7.4%
ы	6	7.4%
в	6	7.4%
п	3	3.7%
ж	3	3.7%
Other values (6)	18	22.2%

Value	Count	Frequency (%)
ي	12	14.3%
د	8	9.5%
ف	8	9.5%
ا	8	9.5%
ت	8	9.5%
ر	4	4.8%
و	4	4.8%
ع	4	4.8%
ل	4	4.8%
إ	4	4.8%
Other values (5)	20	23.8%

Value	Count	Frequency (%)
ค	4	11.1%
ิ	4	11.1%
ช	4	11.1%
น	4	11.1%
ำ	2	5.6%
ต	2	5.6%
ม	2	5.6%
เ	2	5.6%
ง	2	5.6%
บ	2	5.6%
Other values (4)	8	22.2%

Value	Count	Frequency (%)
ា	2	18.2%
ក	1	9.1%
រ	1	9.1%
វ	1	9.1%
យ	1	9.1%
ត	1	9.1%
ម	1	9.1%
្	1	9.1%
ល	1	9.1%
ៃ	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45051	99.5%
Arabic	84	0.2%
Cyrillic	81	0.2%
Thai	36	0.1%
None	23	0.1%
Khmer	11	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	6642	14.7%
s	5277	11.7%
i	3853	8.6%
t	2819	6.3%
o	2809	6.2%
8	1663	3.7%
e	1644	3.6%
n	1574	3.5%
(	1572	3.5%
)	1572	3.5%
Other values (34)	15626	34.7%

Value	Count	Frequency (%)
ç	9	39.1%
õ	9	39.1%
ó	5	21.7%

Value	Count	Frequency (%)
ي	12	14.3%
د	8	9.5%
ف	8	9.5%
ا	8	9.5%
ت	8	9.5%
ر	4	4.8%
و	4	4.8%
ع	4	4.8%
ل	4	4.8%
إ	4	4.8%
Other values (5)	20	23.8%

Value	Count	Frequency (%)
ค	4	11.1%
ิ	4	11.1%
ช	4	11.1%
น	4	11.1%
ำ	2	5.6%
ต	2	5.6%
ม	2	5.6%
เ	2	5.6%
ง	2	5.6%
บ	2	5.6%
Other values (4)	8	22.2%

Value	Count	Frequency (%)
ា	2	18.2%
ក	1	9.1%
រ	1	9.1%
វ	1	9.1%
យ	1	9.1%
ត	1	9.1%
ម	1	9.1%
្	1	9.1%
ល	1	9.1%
ៃ	1	9.1%

Value	Count	Frequency (%)
о	12	14.8%
т	9	11.1%
л	6	7.4%
и	6	7.4%
е	6	7.4%
н	6	7.4%
ы	6	7.4%
в	6	7.4%
п	3	3.7%
ж	3	3.7%
Other values (6)	18	22.2%

merchant_rating_count
Real number (ℝ_≥0)

Distinct	917
Distinct (%)	58.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26495.8328
Minimum	0
Maximum	2174765
Zeros	1
Zeros (%)	0.1%
Memory size	12.4 KiB

Quantile statistics

Minimum	0
5-th percentile	77.4
Q1	1987
median	7936
Q3	24564
95-th percentile	105015
Maximum	2174765
Range	2174765
Interquartile range (IQR)	22577

Descriptive statistics

Standard deviation	78474.45561
Coefficient of variation (CV)	2.961765957
Kurtosis	380.1505712
Mean	26495.8328
Median Absolute Deviation (MAD)	7334
Skewness	15.88901874
Sum	41677945
Variance	6158240183
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32168	15	1.0%
12309	12	0.8%
80093	9	0.6%
42919	8	0.5%
88193	8	0.5%
10600	8	0.5%
31	7	0.4%
55499	7	0.4%
10474	6	0.4%
55670	6	0.4%
Other values (907)	1487	94.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
3	2	0.1%
4	2	0.1%
6	4	0.3%
8	1	0.1%

Value	Count	Frequency (%)
2174765	1	0.1%
839882	3	0.2%
402743	3	0.2%
366898	1	0.1%
330405	1	0.1%

merchant_rating
Real number (ℝ_≥0)

Distinct	952
Distinct (%)	60.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.032345119
Minimum	2.333333333
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	12.4 KiB

Quantile statistics

Minimum	2.333333333
5-th percentile	3.70758405
Q1	3.917353419
median	4.040650407
Q3	4.161796723
95-th percentile	4.325714254
Maximum	5
Range	2.666666667
Interquartile range (IQR)	0.244443304

Descriptive statistics

Standard deviation	0.204767997
Coefficient of variation (CV)	0.05078136691
Kurtosis	5.316849955
Mean	4.032345119
Median Absolute Deviation (MAD)	0.12228306
Skewness	-1.029755428
Sum	6342.878873
Variance	0.04192993259
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.884543646	15	1.0%
4.045170201	12	0.8%
4.00669222	9	0.6%
4.105967054	8	0.5%
4.080890774	8	0.5%
3.86754717	8	0.5%
4.138885385	7	0.4%
4.146957347	6	0.4%
3.967520145	6	0.4%
3.958790237	6	0.4%
Other values (942)	1488	94.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.333333333	1	0.1%
2.941176471	1	0.1%
3	1	0.1%
3.034482759	1	0.1%
3.038961039	1	0.1%

Value	Count	Frequency (%)
5	1	0.1%
4.57751938	1	0.1%
4.521865889	1	0.1%
4.5125	1	0.1%
4.501472031	1	0.1%

merchant_id
Categorical

HIGH CARDINALITY

Distinct	958
Distinct (%)	60.9%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

558c2cdc89d53c4005ea2920	15
5acaf29d5ebcfd72403106a8	12
583138b06339b410ab9663ec	9
564d8a9ac0f55a1276cd96f8	8
582833faea77701b456c786a	8
Other values (953)	1521

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	37752
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	635 ?
Unique (%)	40.4%

Sample

1st row	595097d6a26f6e070cb878d1
2nd row	56458aa03a698c35c9050988
3rd row	5d464a1ffdf7bc44ee933c65
4th row	58cfdefdacb37b556efdff7c
5th row	5ab3b592c3911a095ad5dadb

Value	Count	Frequency (%)
558c2cdc89d53c4005ea2920	15	1.0%
5acaf29d5ebcfd72403106a8	12	0.8%
583138b06339b410ab9663ec	9	0.6%
564d8a9ac0f55a1276cd96f8	8	0.5%
582833faea77701b456c786a	8	0.5%
5533c83986ff95173dc017d0	8	0.5%
5926c5ace8ff5525241b368d	7	0.4%
56458aa03a698c35c9050988	6	0.4%
5b160017daac45594728d9ba	6	0.4%
57b03628c676b3573ba2a081	6	0.4%
Other values (948)	1488	94.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
558c2cdc89d53c4005ea2920	15	1.0%
5acaf29d5ebcfd72403106a8	12	0.8%
583138b06339b410ab9663ec	9	0.6%
564d8a9ac0f55a1276cd96f8	8	0.5%
582833faea77701b456c786a	8	0.5%
5533c83986ff95173dc017d0	8	0.5%
5926c5ace8ff5525241b368d	7	0.4%
56458aa03a698c35c9050988	6	0.4%
5b160017daac45594728d9ba	6	0.4%
57b03628c676b3573ba2a081	6	0.4%
Other values (948)	1488	94.6%

Most occurring characters

Value	Count	Frequency (%)
5	4010	10.6%
8	2449	6.5%
6	2433	6.4%
0	2423	6.4%
7	2364	6.3%
1	2333	6.2%
3	2303	6.1%
4	2255	6.0%
a	2252	6.0%
d	2224	5.9%
Other values (6)	12706	33.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24879	65.9%
Lowercase Letter	12873	34.1%

Most frequent character per category

Value	Count	Frequency (%)
5	4010	16.1%
8	2449	9.8%
6	2433	9.8%
0	2423	9.7%
7	2364	9.5%
1	2333	9.4%
3	2303	9.3%
4	2255	9.1%
9	2182	8.8%
2	2127	8.5%

Value	Count	Frequency (%)
a	2252	17.5%
d	2224	17.3%
c	2219	17.2%
e	2157	16.8%
b	2104	16.3%
f	1917	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	24879	65.9%
Latin	12873	34.1%

Most frequent character per script

Value	Count	Frequency (%)
5	4010	16.1%
8	2449	9.8%
6	2433	9.8%
0	2423	9.7%
7	2364	9.5%
1	2333	9.4%
3	2303	9.3%
4	2255	9.1%
9	2182	8.8%
2	2127	8.5%

Value	Count	Frequency (%)
a	2252	17.5%
d	2224	17.3%
c	2219	17.2%
e	2157	16.8%
b	2104	16.3%
f	1917	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37752	100.0%

Most frequent character per block

Value	Count	Frequency (%)
5	4010	10.6%
8	2449	6.5%
6	2433	6.4%
0	2423	6.4%
7	2364	6.3%
1	2333	6.2%
3	2303	6.1%
4	2255	6.0%
a	2252	6.0%
d	2224	5.9%
Other values (6)	12706	33.7%

merchant_has_profile_picture
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

0	1347
1	226

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1573
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1347	85.6%
1	226	14.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1347	85.6%
1	226	14.4%

Most occurring characters

Value	Count	Frequency (%)
0	1347	85.6%
1	226	14.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1573	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1347	85.6%
1	226	14.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1573	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1347	85.6%
1	226	14.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1347	85.6%
1	226	14.4%

merchant_profile_picture
Categorical

HIGH CARDINALITY
MISSING

Distinct	125
Distinct (%)	55.3%
Missing	1347
Missing (%)	85.6%
Memory size	12.4 KiB

https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5acaf29d5ebcfd72403106a8.jpg	12
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5533c83986ff95173dc017d0.jpg	8
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_58ad449708de0c6dc59d9e06.jpg	6
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55c8a4c33a698c6010edcd9e.jpg	6
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5268759b736046671957190c.jpg	5
Other values (120)	189

Length

Max length	99
Median length	99
Mean length	99
Min length	99

Characters and Unicode

Total characters	22374
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	79 ?
Unique (%)	35.0%

Sample

1st row	https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5652f4053a698c76dc9a3f37.jpg
2nd row	https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55ed5a3362e273427107759e.jpg
3rd row	https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_539937d634067e06707b1a8e.jpg
4th row	https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55ed5a3362e273427107759e.jpg
5th row	https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_57108cd6a995b507211ef8fb.jpg

Value	Count	Frequency (%)
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5acaf29d5ebcfd72403106a8.jpg	12	0.8%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5533c83986ff95173dc017d0.jpg	8	0.5%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_58ad449708de0c6dc59d9e06.jpg	6	0.4%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55c8a4c33a698c6010edcd9e.jpg	6	0.4%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5268759b736046671957190c.jpg	5	0.3%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_577fb2b368116418674befd9.jpg	5	0.3%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5495976a40b3782bc8b3654a.jpg	4	0.3%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_54db03867851097093c0efe7.jpg	4	0.3%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_557ed5b886d66519ff242099.jpg	4	0.3%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55c8029641d799421d41fe3a.jpg	4	0.3%
Other values (115)	168	10.7%
(Missing)	1347	85.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5acaf29d5ebcfd72403106a8.jpg	12	5.3%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5533c83986ff95173dc017d0.jpg	8	3.5%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_58ad449708de0c6dc59d9e06.jpg	6	2.7%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55c8a4c33a698c6010edcd9e.jpg	6	2.7%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_577fb2b368116418674befd9.jpg	5	2.2%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5268759b736046671957190c.jpg	5	2.2%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_557ed5b886d66519ff242099.jpg	4	1.8%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_55c8029641d799421d41fe3a.jpg	4	1.8%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5495976a40b3782bc8b3654a.jpg	4	1.8%
https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_58131ddf6f55296033923a7c.jpg	4	1.8%
Other values (115)	168	74.3%

Most occurring characters

Value	Count	Frequency (%)
e	1663	7.4%
a	1413	6.3%
s	1356	6.1%
t	1130	5.1%
p	1130	5.1%
-	1130	5.1%
c	965	4.3%
/	904	4.0%
m	904	4.0%
o	904	4.0%
Other values (25)	10875	48.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15103	67.5%
Decimal Number	4107	18.4%
Other Punctuation	1808	8.1%
Dash Punctuation	1130	5.1%
Connector Punctuation	226	1.0%

Most frequent character per category

Value	Count	Frequency (%)
e	1663	11.0%
a	1413	9.4%
s	1356	9.0%
t	1130	7.5%
p	1130	7.5%
c	965	6.4%
m	904	6.0%
o	904	6.0%
d	771	5.1%
w	678	4.5%
Other values (10)	4189	27.7%

Value	Count	Frequency (%)
3	575	14.0%
1	570	13.9%
5	557	13.6%
6	395	9.6%
0	391	9.5%
8	376	9.2%
7	358	8.7%
9	314	7.6%
4	295	7.2%
2	276	6.7%

Value	Count	Frequency (%)
/	904	50.0%
.	678	37.5%
:	226	12.5%

Value	Count	Frequency (%)
-	1130	100.0%

Value	Count	Frequency (%)
_	226	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15103	67.5%
Common	7271	32.5%

Most frequent character per script

Value	Count	Frequency (%)
e	1663	11.0%
a	1413	9.4%
s	1356	9.0%
t	1130	7.5%
p	1130	7.5%
c	965	6.4%
m	904	6.0%
o	904	6.0%
d	771	5.1%
w	678	4.5%
Other values (10)	4189	27.7%

Value	Count	Frequency (%)
-	1130	15.5%
/	904	12.4%
.	678	9.3%
3	575	7.9%
1	570	7.8%
5	557	7.7%
6	395	5.4%
0	391	5.4%
8	376	5.2%
7	358	4.9%
Other values (5)	1337	18.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22374	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1663	7.4%
a	1413	6.3%
s	1356	6.1%
t	1130	5.1%
p	1130	5.1%
-	1130	5.1%
c	965	4.3%
/	904	4.0%
m	904	4.0%
o	904	4.0%
Other values (25)	10875	48.6%

product_url
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1341
Distinct (%)	85.3%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

https://www.wish.com/c/5eb4dd169263020a42be1a88	3
https://www.wish.com/c/5e142dee04c3e579e89576a3	3
https://www.wish.com/c/5eba5b1c29367c77b5c0eb35	3
https://www.wish.com/c/5ea91e4d29b81241e1d43b27	3
https://www.wish.com/c/5e9a74e447f7d92c8db8d14b	3
Other values (1336)	1558

Length

Max length	47
Median length	47
Mean length	47
Min length	47

Characters and Unicode

Total characters	73931
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1130 ?
Unique (%)	71.8%

Sample

1st row	https://www.wish.com/c/5e9ae51d43d6a96e303acdb0
2nd row	https://www.wish.com/c/58940d436a0d3d5da4e95a38
3rd row	https://www.wish.com/c/5ea10e2c617580260d55310a
4th row	https://www.wish.com/c/5cedf17ad1d44c52c59e4aca
5th row	https://www.wish.com/c/5ebf5819ebac372b070b0e70

Value	Count	Frequency (%)
https://www.wish.com/c/5eb4dd169263020a42be1a88	3	0.2%
https://www.wish.com/c/5e142dee04c3e579e89576a3	3	0.2%
https://www.wish.com/c/5eba5b1c29367c77b5c0eb35	3	0.2%
https://www.wish.com/c/5ea91e4d29b81241e1d43b27	3	0.2%
https://www.wish.com/c/5e9a74e447f7d92c8db8d14b	3	0.2%
https://www.wish.com/c/5eba05b08c884a0bddd0ad96	3	0.2%
https://www.wish.com/c/5c80e8a150c63d28c67b8f14	3	0.2%
https://www.wish.com/c/5e9dad8cbc19c300417e1733	3	0.2%
https://www.wish.com/c/5e93d60ebc5446aedde50c50	3	0.2%
https://www.wish.com/c/5cde56ea6bbbd86b1cbab4a8	3	0.2%
Other values (1331)	1543	98.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.wish.com/c/5eb4dd169263020a42be1a88	3	0.2%
https://www.wish.com/c/5e142dee04c3e579e89576a3	3	0.2%
https://www.wish.com/c/5eba5b1c29367c77b5c0eb35	3	0.2%
https://www.wish.com/c/5ea91e4d29b81241e1d43b27	3	0.2%
https://www.wish.com/c/5e9a74e447f7d92c8db8d14b	3	0.2%
https://www.wish.com/c/5eba05b08c884a0bddd0ad96	3	0.2%
https://www.wish.com/c/5c80e8a150c63d28c67b8f14	3	0.2%
https://www.wish.com/c/5e9dad8cbc19c300417e1733	3	0.2%
https://www.wish.com/c/5e93d60ebc5446aedde50c50	3	0.2%
https://www.wish.com/c/5cde56ea6bbbd86b1cbab4a8	3	0.2%
Other values (1331)	1543	98.1%

Most occurring characters

Value	Count	Frequency (%)
/	6292	8.5%
w	6292	8.5%
c	5604	7.6%
5	3676	5.0%
h	3146	4.3%
t	3146	4.3%
s	3146	4.3%
.	3146	4.3%
e	2791	3.8%
0	2436	3.3%
Other values (17)	34256	46.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39185	53.0%
Decimal Number	23735	32.1%
Other Punctuation	11011	14.9%

Most frequent character per category

Value	Count	Frequency (%)
w	6292	16.1%
c	5604	14.3%
h	3146	8.0%
t	3146	8.0%
s	3146	8.0%
e	2791	7.1%
d	2346	6.0%
b	2331	5.9%
a	2116	5.4%
f	1975	5.0%
Other values (4)	6292	16.1%

Value	Count	Frequency (%)
5	3676	15.5%
0	2436	10.3%
1	2299	9.7%
2	2269	9.6%
4	2242	9.4%
3	2179	9.2%
9	2176	9.2%
7	2164	9.1%
6	2155	9.1%
8	2139	9.0%

Value	Count	Frequency (%)
/	6292	57.1%
.	3146	28.6%
:	1573	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39185	53.0%
Common	34746	47.0%

Most frequent character per script

Value	Count	Frequency (%)
w	6292	16.1%
c	5604	14.3%
h	3146	8.0%
t	3146	8.0%
s	3146	8.0%
e	2791	7.1%
d	2346	6.0%
b	2331	5.9%
a	2116	5.4%
f	1975	5.0%
Other values (4)	6292	16.1%

Value	Count	Frequency (%)
/	6292	18.1%
5	3676	10.6%
.	3146	9.1%
0	2436	7.0%
1	2299	6.6%
2	2269	6.5%
4	2242	6.5%
3	2179	6.3%
9	2176	6.3%
7	2164	6.2%
Other values (3)	5867	16.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73931	100.0%

Most frequent character per block

Value	Count	Frequency (%)
/	6292	8.5%
w	6292	8.5%
c	5604	7.6%
5	3676	5.0%
h	3146	4.3%
t	3146	4.3%
s	3146	4.3%
.	3146	4.3%
e	2791	3.8%
0	2436	3.3%
Other values (17)	34256	46.3%

product_picture
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1341
Distinct (%)	85.3%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

https://contestimg.wish.com/api/webimage/5eba05b08c884a0bddd0ad96-medium.jpg	3
https://contestimg.wish.com/api/webimage/5eba5b1c29367c77b5c0eb35-medium.jpg	3
https://contestimg.wish.com/api/webimage/5ec1e63f7abee20ab93c68f2-medium.jpg	3
https://contestimg.wish.com/api/webimage/5dea1d9cec016f062ce8aab1-medium.jpg	3
https://contestimg.wish.com/api/webimage/5ebe0ead593b960eb1c82d0b-medium.jpg	3
Other values (1336)	1558

Length

Max length	76
Median length	76
Mean length	76
Min length	76

Characters and Unicode

Total characters	119548
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1130 ?
Unique (%)	71.8%

Sample

1st row	https://contestimg.wish.com/api/webimage/5e9ae51d43d6a96e303acdb0-medium.jpg
2nd row	https://contestimg.wish.com/api/webimage/58940d436a0d3d5da4e95a38-medium.jpg
3rd row	https://contestimg.wish.com/api/webimage/5ea10e2c617580260d55310a-medium.jpg
4th row	https://contestimg.wish.com/api/webimage/5cedf17ad1d44c52c59e4aca-medium.jpg
5th row	https://contestimg.wish.com/api/webimage/5ebf5819ebac372b070b0e70-medium.jpg

Value	Count	Frequency (%)
https://contestimg.wish.com/api/webimage/5eba05b08c884a0bddd0ad96-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5eba5b1c29367c77b5c0eb35-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ec1e63f7abee20ab93c68f2-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5dea1d9cec016f062ce8aab1-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ebe0ead593b960eb1c82d0b-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ee8875404718a4bba2d6348-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5eaa6d9c8d99eb3ec06709f4-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5eb4dd169263020a42be1a88-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ebff6d34a4cf4438dba5d80-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5e9a74e447f7d92c8db8d14b-medium.jpg	3	0.2%
Other values (1331)	1543	98.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
https://contestimg.wish.com/api/webimage/5eba05b08c884a0bddd0ad96-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5eba5b1c29367c77b5c0eb35-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ec1e63f7abee20ab93c68f2-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5dea1d9cec016f062ce8aab1-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ebe0ead593b960eb1c82d0b-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ee8875404718a4bba2d6348-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5eaa6d9c8d99eb3ec06709f4-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5eb4dd169263020a42be1a88-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5ebff6d34a4cf4438dba5d80-medium.jpg	3	0.2%
https://contestimg.wish.com/api/webimage/5e9a74e447f7d92c8db8d14b-medium.jpg	3	0.2%
Other values (1331)	1543	98.1%

Most occurring characters

Value	Count	Frequency (%)
e	9083	7.6%
/	7865	6.6%
i	7865	6.6%
m	7865	6.6%
t	6292	5.3%
c	5604	4.7%
a	5262	4.4%
p	4719	3.9%
s	4719	3.9%
g	4719	3.9%
Other values (22)	55555	46.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	80083	67.0%
Decimal Number	23735	19.9%
Other Punctuation	14157	11.8%
Dash Punctuation	1573	1.3%

Most frequent character per category

Value	Count	Frequency (%)
e	9083	11.3%
i	7865	9.8%
m	7865	9.8%
t	6292	7.9%
c	5604	7.0%
a	5262	6.6%
p	4719	5.9%
s	4719	5.9%
g	4719	5.9%
d	3919	4.9%
Other values (8)	20036	25.0%

Value	Count	Frequency (%)
5	3676	15.5%
0	2436	10.3%
1	2299	9.7%
2	2269	9.6%
4	2242	9.4%
3	2179	9.2%
9	2176	9.2%
7	2164	9.1%
6	2155	9.1%
8	2139	9.0%

Value	Count	Frequency (%)
/	7865	55.6%
.	4719	33.3%
:	1573	11.1%

Value	Count	Frequency (%)
-	1573	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	80083	67.0%
Common	39465	33.0%

Most frequent character per script

Value	Count	Frequency (%)
e	9083	11.3%
i	7865	9.8%
m	7865	9.8%
t	6292	7.9%
c	5604	7.0%
a	5262	6.6%
p	4719	5.9%
s	4719	5.9%
g	4719	5.9%
d	3919	4.9%
Other values (8)	20036	25.0%

Value	Count	Frequency (%)
/	7865	19.9%
.	4719	12.0%
5	3676	9.3%
0	2436	6.2%
1	2299	5.8%
2	2269	5.7%
4	2242	5.7%
3	2179	5.5%
9	2176	5.5%
7	2164	5.5%
Other values (4)	7440	18.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119548	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	9083	7.6%
/	7865	6.6%
i	7865	6.6%
m	7865	6.6%
t	6292	5.3%
c	5604	4.7%
a	5262	4.4%
p	4719	3.9%
s	4719	3.9%
g	4719	3.9%
Other values (22)	55555	46.5%

product_id
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1341
Distinct (%)	85.3%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

5eba05b08c884a0bddd0ad96	3
5ee8875404718a4bba2d6348	3
5e93d60ebc5446aedde50c50	3
5ebff6d34a4cf4438dba5d80	3
5e16cb87e6dd7c03be24b28a	3
Other values (1336)	1558

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	37752
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1130 ?
Unique (%)	71.8%

Sample

1st row	5e9ae51d43d6a96e303acdb0
2nd row	58940d436a0d3d5da4e95a38
3rd row	5ea10e2c617580260d55310a
4th row	5cedf17ad1d44c52c59e4aca
5th row	5ebf5819ebac372b070b0e70

Value	Count	Frequency (%)
5eba05b08c884a0bddd0ad96	3	0.2%
5ee8875404718a4bba2d6348	3	0.2%
5e93d60ebc5446aedde50c50	3	0.2%
5ebff6d34a4cf4438dba5d80	3	0.2%
5e16cb87e6dd7c03be24b28a	3	0.2%
5e9dad8cbc19c300417e1733	3	0.2%
5e9a74e447f7d92c8db8d14b	3	0.2%
5eb2200b989caa081980b812	3	0.2%
5ec1e63f7abee20ab93c68f2	3	0.2%
5ea91e4d29b81241e1d43b27	3	0.2%
Other values (1331)	1543	98.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
5eba05b08c884a0bddd0ad96	3	0.2%
5ee8875404718a4bba2d6348	3	0.2%
5e93d60ebc5446aedde50c50	3	0.2%
5ebff6d34a4cf4438dba5d80	3	0.2%
5e16cb87e6dd7c03be24b28a	3	0.2%
5e9dad8cbc19c300417e1733	3	0.2%
5e9a74e447f7d92c8db8d14b	3	0.2%
5eb2200b989caa081980b812	3	0.2%
5ec1e63f7abee20ab93c68f2	3	0.2%
5ea91e4d29b81241e1d43b27	3	0.2%
Other values (1331)	1543	98.1%

Most occurring characters

Value	Count	Frequency (%)
5	3676	9.7%
e	2791	7.4%
c	2458	6.5%
0	2436	6.5%
d	2346	6.2%
b	2331	6.2%
1	2299	6.1%
2	2269	6.0%
4	2242	5.9%
3	2179	5.8%
Other values (6)	12725	33.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23735	62.9%
Lowercase Letter	14017	37.1%

Most frequent character per category

Value	Count	Frequency (%)
5	3676	15.5%
0	2436	10.3%
1	2299	9.7%
2	2269	9.6%
4	2242	9.4%
3	2179	9.2%
9	2176	9.2%
7	2164	9.1%
6	2155	9.1%
8	2139	9.0%

Value	Count	Frequency (%)
e	2791	19.9%
c	2458	17.5%
d	2346	16.7%
b	2331	16.6%
a	2116	15.1%
f	1975	14.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	23735	62.9%
Latin	14017	37.1%

Most frequent character per script

Value	Count	Frequency (%)
5	3676	15.5%
0	2436	10.3%
1	2299	9.7%
2	2269	9.6%
4	2242	9.4%
3	2179	9.2%
9	2176	9.2%
7	2164	9.1%
6	2155	9.1%
8	2139	9.0%

Value	Count	Frequency (%)
e	2791	19.9%
c	2458	17.5%
d	2346	16.7%
b	2331	16.6%
a	2116	15.1%
f	1975	14.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37752	100.0%

Most frequent character per block

Value	Count	Frequency (%)
5	3676	9.7%
e	2791	7.4%
c	2458	6.5%
0	2436	6.5%
d	2346	6.2%
b	2331	6.2%
1	2299	6.1%
2	2269	6.0%
4	2242	5.9%
3	2179	5.8%
Other values (6)	12725	33.7%

theme
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

summer	1573

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	9438
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	summer
2nd row	summer
3rd row	summer
4th row	summer
5th row	summer

Value	Count	Frequency (%)
summer	1573	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
summer	1573	100.0%

Most occurring characters

Value	Count	Frequency (%)
m	3146	33.3%
s	1573	16.7%
u	1573	16.7%
e	1573	16.7%
r	1573	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9438	100.0%

Most frequent character per category

Value	Count	Frequency (%)
m	3146	33.3%
s	1573	16.7%
u	1573	16.7%
e	1573	16.7%
r	1573	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9438	100.0%

Most frequent character per script

Value	Count	Frequency (%)
m	3146	33.3%
s	1573	16.7%
u	1573	16.7%
e	1573	16.7%
r	1573	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9438	100.0%

Most frequent character per block

Value	Count	Frequency (%)
m	3146	33.3%
s	1573	16.7%
u	1573	16.7%
e	1573	16.7%
r	1573	16.7%

crawl_month
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

2020-08	1573

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	11011
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-08
2nd row	2020-08
3rd row	2020-08
4th row	2020-08
5th row	2020-08

Value	Count	Frequency (%)
2020-08	1573	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-08	1573	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	4719	42.9%
2	3146	28.6%
-	1573	14.3%
8	1573	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9438	85.7%
Dash Punctuation	1573	14.3%

Most frequent character per category

Value	Count	Frequency (%)
0	4719	50.0%
2	3146	33.3%
8	1573	16.7%

Value	Count	Frequency (%)
-	1573	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11011	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	4719	42.9%
2	3146	28.6%
-	1573	14.3%
8	1573	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11011	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4719	42.9%
2	3146	28.6%
-	1573	14.3%
8	1573	14.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	title_in_french	title_translated	listed_price	retail_price	currency_buyer	units_sold	uses_ad_boosts	rating	rating_count	rating_five_count	rating_four_count	rating_three_count	rating_two_count	rating_one_count	tags	product_color	product_variation_size_id	product_variation_inventory	shipping_option_name	shipping_option_price	countries_shipped_to	inventory_total	has_urgency_banner	urgency_text	origin_country	merchant_title	merchant_name	merchant_info_subtitle	merchant_rating_count	merchant_rating	merchant_id	merchant_has_profile_picture	merchant_profile_picture	product_url	product_picture	product_id	theme	crawl_month
0	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets	16.00	14	EUR	100	0	3.76	54	26.0	8.0	10.0	1.0	9.0	Summer,Fashion,womenunderwearsuit,printedpajamasset,womencasualshort,Women's Fashion,flamingo,loungewearset,Casual,Shirt,casualsleepwear,Shorts,flamingotshirt,Elastic,Vintage,Tops,tshirtandshortsset,Women,Sleepwear,Print,womenpajamasset,womennightwear,Pajamas,womensleepwearset	white	M	50	Livraison standard	4	34	50	1.0	Quantité limitée !	CN	zgrdejia	zgrdejia	(568 notes)	568	4.128521	595097d6a26f6e070cb878d1	0	NaN	https://www.wish.com/c/5e9ae51d43d6a96e303acdb0	https://contestimg.wish.com/api/webimage/5e9ae51d43d6a96e303acdb0-medium.jpg	5e9ae51d43d6a96e303acdb0	summer	2020-08
1	SSHOUSE Summer Casual Sleeveless Soirée Party Soirée sans manches Vêtements de plage sexy Mini robe femme wshC1612242400387A21	Women's Casual Summer Sleeveless Sexy Mini Dress	8.00	22	EUR	20000	1	3.45	6135	2269.0	1027.0	1118.0	644.0	1077.0	Mini,womens dresses,Summer,Patchwork,fashion dress,Dress,Mini dress,Women's Fashion,Women S Clothing,backless,party,summer dresses,sleeveless,sexy,Casual	green	XS	50	Livraison standard	2	41	50	1.0	Quantité limitée !	CN	SaraHouse	sarahouse	83 % avis positifs (17,752 notes)	17752	3.899673	56458aa03a698c35c9050988	0	NaN	https://www.wish.com/c/58940d436a0d3d5da4e95a38	https://contestimg.wish.com/api/webimage/58940d436a0d3d5da4e95a38-medium.jpg	58940d436a0d3d5da4e95a38	summer	2020-08
2	2020 Nouvelle Arrivée Femmes Printemps et Été Plage Porter Longue Mince Cardigan Ouvert Avant Kimono Vert Feuille Imprimé En Mousseline de Soie Cardigan S-5XL	2020 New Arrival Women Spring and Summer Beach Wear Long Thin Cardigan Open Front Kimono Green Leaf Printed Chiffon Cardigan S-5XL	8.00	43	EUR	100	0	3.57	14	5.0	4.0	2.0	0.0	3.0	Summer,cardigan,women beachwear,chiffon,Sexy women,Coat,summercardigan,openfront,short sleeves,Swimsuit,Women's Fashion,leaf,Green,printed,Spring,longcardigan,Women,Beach,kimono	leopardprint	XS	1	Livraison standard	3	36	50	1.0	Quantité limitée !	CN	hxt520	hxt520	86 % avis positifs (295 notes)	295	3.989831	5d464a1ffdf7bc44ee933c65	0	NaN	https://www.wish.com/c/5ea10e2c617580260d55310a	https://contestimg.wish.com/api/webimage/5ea10e2c617580260d55310a-medium.jpg	5ea10e2c617580260d55310a	summer	2020-08
3	Hot Summer Cool T-shirt pour les femmes Mode Tops Abeille Lettres imprimées Manches courtes O Neck Coton T-shirts Tops Tee Vêtements	Hot Summer Cool T Shirt for Women Fashion Tops Bee Printed Letters Short Sleeve O Neck Cotton T-shirts Tops Tee Clothing	8.00	8	EUR	5000	1	4.03	579	295.0	119.0	87.0	42.0	36.0	Summer,Shorts,Cotton,Cotton T Shirt,Sleeve,printedletterstop,Clothing,Tops,Necks,short sleeves,Women's Fashion,Women Clothing,printed,Women,tshirtforwomen,Fashion,T Shirts,Shirt	black	M	50	Livraison standard	2	41	50	NaN	NaN	CN	allenfan	allenfan	(23,832 notes)	23832	4.020435	58cfdefdacb37b556efdff7c	0	NaN	https://www.wish.com/c/5cedf17ad1d44c52c59e4aca	https://contestimg.wish.com/api/webimage/5cedf17ad1d44c52c59e4aca-medium.jpg	5cedf17ad1d44c52c59e4aca	summer	2020-08
4	Femmes Shorts d'été à lacets taille élastique lâche mince pantalon décontracté, plus la taille S-8XL	Women Summer Shorts Lace Up Elastic Waistband Loose Thin Casual Pants Plus Size S-8XL	2.72	3	EUR	100	1	3.10	20	6.0	4.0	2.0	2.0	6.0	Summer,Plus Size,Lace,Casual pants,Bottom,pants,Loose,Women's Fashion,Shorts,Lace Up,Elastic,Casual,Women	yellow	S	1	Livraison standard	1	35	50	1.0	Quantité limitée !	CN	youngpeopleshop	happyhorses	85 % avis positifs (14,482 notes)	14482	4.001588	5ab3b592c3911a095ad5dadb	0	NaN	https://www.wish.com/c/5ebf5819ebac372b070b0e70	https://contestimg.wish.com/api/webimage/5ebf5819ebac372b070b0e70-medium.jpg	5ebf5819ebac372b070b0e70	summer	2020-08
5	Plus la taille d'été femmes décontracté sans manches barboteuses combinaisons combinaison de couleur unie jarretelles pantalons lâche salopette	Plus Size Summer Women Casual Sleeveless Rompers Jumpsuits Solid Color Suspender Ttrousers Loose Overalls	3.92	9	EUR	10	0	5.00	1	1.0	0.0	0.0	0.0	0.0	Deep V-Neck,Summer,Plus Size,Spaghetti Strap,Overalls,Women's Fashion,sleeveless,Women,Casual,jumpsuit	navyblue	Size-XS	1	Livraison standard	1	40	50	NaN	NaN	CN	zhoulinglinga	zhoulinglinga	75 % avis positifs (65 notes)	65	3.507692	5e4b9c3801ba9d210036fc5a	0	NaN	https://www.wish.com/c/5ec645bafd107a02279c8c54	https://contestimg.wish.com/api/webimage/5ec645bafd107a02279c8c54-medium.jpg	5ec645bafd107a02279c8c54	summer	2020-08
6	Women Fashion Loose Lace Blouse Blouse V Neck Bat Sleeves T Shirt Hollow Out Tops Plus Grande Taille XS-8XL	Women Fashion Loose Lace Blouse V Neck Bat Sleeves T Shirt Hollow Out Tops Plus Size XS-8XL	7.00	6	EUR	50000	0	3.84	6742	3172.0	1352.0	971.0	490.0	757.0	blouse,Women,lace t shirt,summer t-shirts,Lace,Sleeve,Women Blouse,loose shirt,Short Sleeve Blouses,Pure Color,Womens Blouse,Bat,lace shirts,Necks,Women's Fashion,Plus Size,loose t-shirt,Short Sleeve T-Shirt,Fashion,Tops,Shirt	white	XS	50	Livraison standard	2	31	50	NaN	NaN	CN	Unique Li Fashion Shop	uniquelifashionshopbb657bfe91d211e598c7063a14dc88b5	86 % avis positifs (10,194 notes)	10194	4.076516	5652f4053a698c76dc9a3f37	1	https://s3-us-west-1.amazonaws.com/sweeper-production-merchantimage/dp_5652f4053a698c76dc9a3f37.jpg	https://www.wish.com/c/5c63a337d5e2ce4bbb3152cf	https://contestimg.wish.com/api/webimage/5c63a337d5e2ce4bbb3152cf-medium.jpg	5c63a337d5e2ce4bbb3152cf	summer	2020-08
7	Robe tunique ample femme Robe d'été Robe en jean Robe chemise en jean Robe droite	Women's Baggy Tunic Dress Summer Dress Denim Dress Denim Shirt Dress Shift Dress	12.00	11	EUR	1000	0	3.76	286	120.0	56.0	61.0	18.0	31.0	Jeans,Fashion,tunic,Shirt,Summer,Dress,Denim,summer dress,denimjeansdres,short sleeves,casual dresses,Women's Fashion,Tunic dress,minishirtdres,Lines,mididre	blue	M.	50	Livraison standard	3	139	50	NaN	NaN	CN	So Band	soband	(342 notes)	342	3.681287	5d45349676befe65691dcfbb	0	NaN	https://www.wish.com/c/5e0ae5ebc2efb76ccf0a3391	https://contestimg.wish.com/api/webimage/5e0ae5ebc2efb76ccf0a3391-medium.jpg	5e0ae5ebc2efb76ccf0a3391	summer	2020-08
8	Robe d'été décontractée à manches courtes pour femmes	Women's Summer Casual Dress Fashion Short Sleeve Slim Dress	11.00	84	EUR	100	1	3.47	15	6.0	2.0	3.0	1.0	3.0	slim dress,summer dress,womenshortsleevedre,Sleeve,Summer,Dress,slim,short sleeves,Women's Fashion,Shorts,boho dress,slimfitdre,Fashion,Casual	black	M	50	Livraison standard	2	36	50	1.0	Quantité limitée !	CN	chenxiangjunjun	chenxiangjunjun	82 % avis positifs (330 notes)	330	3.803030	5d42980e8388970d32294ddc	0	NaN	https://www.wish.com/c/5e6f1fb7fe4a5bb4b8bf36e5	https://contestimg.wish.com/api/webimage/5e6f1fb7fe4a5bb4b8bf36e5-medium.jpg	5e6f1fb7fe4a5bb4b8bf36e5	summer	2020-08
9	Femmes d'été, plus la taille décontractée lâche col en V à manches courtes imprimé floral Blouse Tops	Summer Women Plus Size Casual Loose V Neck Short Sleeve Floral Printed Blouse Tops	5.78	22	EUR	5000	0	3.60	687	287.0	128.0	92.0	68.0	112.0	blouse,Summer,Plus Size,Floral print,Necks,Sleeve,summer shirt,Loose,short sleeves,Casual,T Shirts,Shorts,Fashion,Floral,Women,Women's Fashion,Tops,printed	beige	S	50	Livraison standard	2	33	50	NaN	NaN	CN	Luowei clothe	luoweiclothe	85 % avis positifs (5,534 notes)	5534	3.999819	5ba2251b4315d12ebce873fa	0	NaN	https://www.wish.com/c/5ccfaf238a8d535cec2dfb47	https://contestimg.wish.com/api/webimage/5ccfaf238a8d535cec2dfb47-medium.jpg	5ccfaf238a8d535cec2dfb47	summer	2020-08

Last rows

	title_in_french	title_translated	listed_price	retail_price	currency_buyer	units_sold	uses_ad_boosts	rating	rating_count	rating_five_count	rating_four_count	rating_three_count	rating_two_count	rating_one_count	badges_count	badge_product_quality	tags	product_color	product_variation_size_id	product_variation_inventory	shipping_option_name	shipping_option_price	countries_shipped_to	inventory_total	has_urgency_banner	urgency_text	origin_country	merchant_title	merchant_name	merchant_info_subtitle	merchant_rating_count	merchant_rating	merchant_id	merchant_profile_picture	product_url	product_picture	product_id	theme	crawl_month
1563	ZANZEA Femmes Été Polka Dot Kaftan Beach Club Party Longue Maxi Dress HOT Long Dress	ZANZEA Women Summer Polka Dot Kaftan Beach Club Party Long Maxi Dress HOT Long Dress	15.00	92	EUR	100	0	3.51	74	26.0	15.0	15.0	7.0	11.0	0	0	Summer,loosedresse,kaftan,long dress,baggydres,Dress,Polkas,robesforwomen,Women's Fashion,34sleevedres,party,roundneckdres,vestido,maxi dress,Beach,polka dot,Women	red	L	50	Envio Padrão	4	38	50	NaN	NaN	CN	fashionforgirls	guangzhouchanny	88% Feedback positivo (151,914 classificações)	151914	4.127921	53aa664438d3046ee44a5024	NaN	https://www.wish.com/c/5da04c1f5949a226113006f1	https://contestimg.wish.com/api/webimage/5da04c1f5949a226113006f1-medium.jpg	5da04c1f5949a226113006f1	summer	2020-08
1564	2018 Femme mode d'été en dentelle Patchwork Patchwork Débardeurs Débardeurs Casual Sleeveless Tops Gilet Chemisier (S-5XL) Grande taille	2018 Women fashion Summer Lace Patchwork Tank Tops Casual Sleeveless Tops Vest Blouse (S-5XL) Plus Size	5.91	5	EUR	1000	0	3.38	414	156.0	58.0	72.0	45.0	83.0	0	0	blouse,Summer,Vest,Fashion,Women Blouse,sleevelessblouse,summer shirt,Loose,tank top,Casual,summerblouse,Women's Fashion,sleeveless tops,women top,casualblouse,Women	White	S	50	Livraison standard	2	36	50	1.0	Quantité limitée !	CN	liminny	liminny	81 % avis positifs (12,134 notes)	12134	3.866903	58aec90823ef726994a323fe	NaN	https://www.wish.com/c/5b4ed29514f0765a8a844592	https://contestimg.wish.com/api/webimage/5b4ed29514f0765a8a844592-medium.jpg	5b4ed29514f0765a8a844592	summer	2020-08
1565	Nouveau Pantalon De Mode D'été Femmes Leggings Pantalon Déchiré Pantalon Mince Armée Vert Collants Pantalon	New Summer Fashion Trousers Women Leggings Ripped Pants Slim Pants Army Green Tights Pants	3.00	8	EUR	100	1	3.79	57	25.0	10.0	13.0	3.0	6.0	0	0	Summer,Leggings,Fashion,high waist,pants,slim,Women's Fashion,trousers,Green,Army,Women	skyblue	XS	1	Livraison standard	1	41	50	1.0	Quantité limitée !	CN	bujizhan	bujizhan	(4,080 notes)	4080	3.987990	584a7a381591451e4e3af3df	NaN	https://www.wish.com/c/5e8f0165e815903d022a3c7c	https://contestimg.wish.com/api/webimage/5e8f0165e815903d022a3c7c-medium.jpg	5e8f0165e815903d022a3c7c	summer	2020-08
1566	Robe mi-longue d'été à manches courtes pour femmes Baggy Robes pour femmes Shift Kaftan S-5XL	Womens Short Sleeve Baggy Summer Beach Midi Dress Ladies Shift Kaftan Dresses S-5XL	11.00	134	EUR	100	1	3.54	28	7.0	11.0	4.0	2.0	4.0	0	0	Summer,Shift Dress,Sleeve,shirt dress,long dress,Beach,Dress,short sleeves,beach dress,Shorts,Midi Dress,Ladies,Women's Fashion,loose dress,kaftandre	black	S	50	Livraison standard	3	46	50	NaN	NaN	CN	SCOMELY	scomely	86 % avis positifs (1,926 notes)	1926	4.071651	593402ae25c4f54ed4e0abdf	NaN	https://www.wish.com/c/5d1060d39ed281190dfcec91	https://contestimg.wish.com/api/webimage/5d1060d39ed281190dfcec91-medium.jpg	5d1060d39ed281190dfcec91	summer	2020-08
1567	Combinaison sans manches pour femmes couleur unie Dames Slim Short Bodycon Rompers Femmes Body	Sleeveless Solid Color Women Jumpsuit Ladies Slim Short Bodycon Rompers Women Bodysuit	8.00	7	EUR	20000	1	4.25	3127	1919.0	580.0	304.0	128.0	196.0	1	1	bodycon jumpsuits,nightwear,Shorts,slim,Body Suit,shortjumpsuit,Women,vestido,Ladies,sleeveless,sexy,Rompers,Casual,jumpsuit	black	M	50	Livraison standard	2	44	50	NaN	NaN	CN	Rell Mail	rellmail	88 % avis positifs (16,803 notes)	16803	4.155032	56455b13b15aab129db58cb7	NaN	https://www.wish.com/c/5c91a7ae7cfe8e4e64c36d97	https://contestimg.wish.com/api/webimage/5c91a7ae7cfe8e4e64c36d97-medium.jpg	5c91a7ae7cfe8e4e64c36d97	summer	2020-08
1568	Nouvelle Mode Femmes Bohême Pissenlit Imprimer Tee Shirt Lady Fille T-shirt À Manches Courtes Boho Graphique Tee Casual Yoga Top Plus La Taille	New Fashion Women Bohemia Dandelion Print Tee Shirt Lady Girl Short Sleeve T-shirt Boho Graphic Tee Casual Yoga Top Plus Size	6.00	9	EUR	10000	1	4.08	1367	722.0	293.0	185.0	77.0	90.0	0	0	bohemia,Plus Size,dandelionfloralprinted,short sleeves,yoga top,bohotshirt,Cool T-Shirts,Women's Fashion,Fashion,short sleeve shirt,Casual,Women,Shorts,Yoga,Shirt,Sleeve,graphic tee,Tee Shirt,T Shirts,boho,bohoshirt,Print,Casual Tops,Tops	navyblue	S	50	Livraison standard	2	41	50	NaN	NaN	CN	cxuelin99126	cxuelin99126	90 % avis positifs (5,316 notes)	5316	4.224605	5b507899ab577736508a0782	NaN	https://www.wish.com/c/5d5fadc99febd9356cbc52ee	https://contestimg.wish.com/api/webimage/5d5fadc99febd9356cbc52ee-medium.jpg	5d5fadc99febd9356cbc52ee	summer	2020-08
1569	10 couleurs femmes shorts d'été lacent ceinture élastique culotte lâche, plus la taille S-6XL	10 Color Women Summer Shorts Lace Up Elastic Waistband Loose Panties Plus Size S-6XL	2.00	56	EUR	100	1	3.07	28	11.0	3.0	1.0	3.0	10.0	0	0	Summer,Panties,Elastic,Lace,Casual pants,casualshort,summer shorts,Plus Size,Short pants,women shorts,Shorts,Beach Shorts Women,Beach Shorts,loosepant,high waisted shorts,Lace Up,Women's Fashion,Women	lightblue	S	2	Livraison standard	1	26	50	1.0	Quantité limitée !	CN	sell best quality goods	sellbestqualitygoods	(4,435 notes)	4435	3.696054	54d83b6b6b8a771e478558de	NaN	https://www.wish.com/c/5eccd22b4497b86fd48f16b4	https://contestimg.wish.com/api/webimage/5eccd22b4497b86fd48f16b4-medium.jpg	5eccd22b4497b86fd48f16b4	summer	2020-08
1570	Nouveautés Hommes Siwmwear Beach-Shorts Hommes Summer Short de bain court à séchage rapide Beach-Wear Sports	New Men Siwmwear Beach-Shorts Men Summer Quick-Dry Short Swim-Shorts Beach-Wear Sports	5.00	19	EUR	100	0	3.71	59	24.0	15.0	8.0	3.0	9.0	0	0	runningshort,Beach Shorts,beachpant,menbeachshort,Men,sailboatshort,beach swimwear,Men's Fashion,Shorts,Summer,men's shorts,Sport	white	SIZE S	15	Livraison standard	2	11	50	NaN	NaN	CN	shixueying	shixueying	86 % avis positifs (210 notes)	210	3.961905	5b42da1bf64320209fc8da69	NaN	https://www.wish.com/c/5e74be96034d613d42b52dfe	https://contestimg.wish.com/api/webimage/5e74be96034d613d42b52dfe-medium.jpg	5e74be96034d613d42b52dfe	summer	2020-08
1571	Mode femmes d'été sans manches robes col en V dos nu robe en dentelle dames robes de plage robe blanche	Fashion Women Summer Sleeveless Dresses V Neck Backless Lace Dress Ladies Beach Dresses White Dress	13.00	11	EUR	100	0	2.50	2	0.0	1.0	0.0	0.0	1.0	0	0	Summer,fashion women,Fashion,Lace,Dresses,Dress,Lace Dress,Women's Fashion,ladies dress,beach dress,Sleeveless dress,backless,women's dress,sleeveless,Ladies,women dress,V-neck Dresses,Women,Beach,white,Necks	white	Size S.	36	Livraison standard	3	29	50	NaN	NaN	CN	modai	modai	77 % avis positifs (31 notes)	31	3.774194	5d56b32c40defd78043d5af9	NaN	https://www.wish.com/c/5eda07ab0e295c2097c36590	https://contestimg.wish.com/api/webimage/5eda07ab0e295c2097c36590-medium.jpg	5eda07ab0e295c2097c36590	summer	2020-08
1572	Pantalon de yoga pour femmes à la mode Slim Fit Fitness Running Leggings	Fashion Women Yoga Pants Slim Fit Fitness Running Leggings	7.00	6	EUR	100	1	4.07	14	8.0	3.0	1.0	0.0	2.0	0	0	Summer,Leggings,slim,Yoga,pants,Slim Fit,Women's Fashion,Running,Fashion,Sport,Fitness,Women	red	S	50	Livraison standard	2	41	50	NaN	NaN	CN	AISHOPPINGMALL	aishoppingmall	90 % avis positifs (7,023 notes)	7023	4.235939	5a409cf87b584e7951b2e25f	NaN	https://www.wish.com/c/5e857321f53c3d2d8f25e7ed	https://contestimg.wish.com/api/webimage/5e857321f53c3d2d8f25e7ed-medium.jpg	5e857321f53c3d2d8f25e7ed	summer	2020-08

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters